applied ai engineer

NextGen Talent Brokers

About BitsolBitsol is a product-led, AI-accelerated software studio focused on healthcare. We partner with healthcare founders and organizations in the US to design and deliver HIPAA-compliant applications through rapid, 8-week prototyping and delivery cycles. Combining deep domain experience in clinical workflows, interoperability, and compliance with modern low-code and AI-enabled development practices, we turn validated customer problems into production-ready solutions quickly and securely. Join a mission-driven, cross-functional team that prioritizes real-world impact for patients and providers.About the RoleAs an Applied AI Engineer you will design, build, evaluate, and operate agentic AI systems and retrieval&#8209;augmented pipelines for HIPAA&#8209;sensitive healthcare products. You will own production integration of LLMs and multimodal models, the orchestration of multi&#8209;agent workflows, and the observability, safety and privacy guarantees required for clinical and regulated environments. You will work cross&#8209;functionally with Product, Engineering, DevOps and Compliance to ship reliable, auditable AI features.Key Responsibilities<ul><li>Design and implement agentic systems: multi&#8209;step agents, tool/connector interfaces, action selection policies, orchestrators and workflow engines.</li><li>Build and maintain RAG pipelines: document ingestion, chunking strategies, embeddings, vector indexes (FAISS/Pinecone/Weaviate), semantic search and recall tuning.</li><li>Integrate LLMs and multimodal models (OpenAI/Anthropic/local models/LLM-as-a-service) with robust prompt templates, function&#8209;calling/tool interfaces and orchestration frameworks.</li><li>Implement safety, alignment and privacy controls: PII/PHI scrubbing, role/row access patterns, policy enforcement, content moderation and red&#8209;teaming.</li><li>Produce reproducible evaluation and observability: automated test suites, evaluation metrics (faithfulness, precision, ROUGE/EM where applicable), logging, drift detection and dashboards.</li><li>Harden production services: API design, auth, batching, caching, rate limiting, containerization (Docker), CI/CD, SLOs, scaling and secure hosting patterns suitable for HIPAA workloads.</li><li>Build connectors and integrations (EHR APIs, FHIR/HL7, internal knowledge bases), define access &amp; consent flows, and ensure audit trails for PHI access.</li><li>Define and maintain prompt/agent libraries, tooling contracts (input/output schemas), and documentation for reproducibility and handoff.</li><li>Collaborate with Product and Compliance to translate product requirements into agent behaviors and acceptance criteria; participate in incident response and post&#8209;mortems.</li></ul>Key Qualifications<ul><li>4+ years in applied ML/AI engineering or software engineering with significant AI responsibilities; proven production experience.</li><li>Demonstrable experience building agentic systems (tool&#8209;using agents, multi&#8209;step orchestrations, or similar), not limited to single&#8209;shot prompting.</li><li>Strong, hands&#8209;on experience with retrieval&#8209;augmented systems: embeddings, vector DBs (FAISS/Pinecone/Weaviate), chunking/indexing strategies and retrieval tuning.</li><li>Proven integration experience with LLMs and model APIs, including prompt engineering, function calling, and orchestration (e.g., LangChain, LangGraph, CrewAI or equivalent).</li><li>Production engineering skills: Python, async services, API design, Docker, CI/CD pipelines, and familiarity with deployment patterns for low&#8209;latency/high&#8209;availability services.</li><li>Practical knowledge of evaluation &amp; observability for LLM systems: logging request/response, evaluation pipelines, metrics, and drift detection.</li><li>Strong understanding of data privacy, security and PHI/PII handling; experience designing for auditability and HIPAA compliance requirements.</li><li>Experience debugging model/system failures and performing root&#8209;cause analysis for hallucinations, retrieval failures, and agent misbehavior.</li><li>Solid software engineering fundamentals: testing, reproducibility, documentation and collaboration in cross&#8209;functional teams.</li><li>Clear communicator with product sensibility and ability to translate product needs into technical designs.</li></ul>Preferred / Ideal Candidate<ul><li>Experience with healthcare data, EHR integrations and interoperability standards (FHIR, HL7).</li><li>Hands&#8209;on experience deploying or fine&#8209;tuning LLMs (LoRA, SFT, full model deployments) and working with on&#8209;prem/local model deployments.</li><li>Familiarity with MLOps and feature/serving platforms (MLflow, BentoML, Tecton, Feast, feature stores).</li><li>Experience with agent orchestration/workflow tools (Temporal, Airflow, CrewAI, LangGraph) and multi&#8209;agent coordination patterns.</li><li>Prior work on model safety, alignment tooling, content moderation pipelines and red&#8209;teaming exercises.</li><li>Experience with knowledge graphs, schema/ontology design, or hybrid retrieval (BM25 + embeddings + re&#8209;ranking).</li><li>Background in building evaluation frameworks and operationalizing model QA in regulated environments.</li><li>Mentorship experience and a desire to build reusable prompt/agent libraries and team best practices.</li></ul>Perks and Benefits:<ul><li>Biannual salary increment</li><li>Health and fitness allowance</li><li>Company-sponsored sports and adventure activities</li><li>Bonuses</li><li>Fuel Allowance</li><li>Awesome learning environment</li><li>Growth opportunities</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li> applied ML/AI engineering : 4 years (Required)</li></ul>Work Location: In person

Applied AI Engineer

Visionist, INC

<div><div>Active Top Secret (TS/SCI) clearance with polygraph is required.</div><div>
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Visionist has an exciting new, fully FUNDED opportunity for an Applied AI Engineer on our largest PRIME contract. Our team of Analysts and Engineers is motivated by the direct impact on the mission, crafting specialized tools for enhanced efficiency and quick iterations for our operations user base. Seeing your tools in real-time action brings immediate gratification. This premier program encompasses traditional software services including Systems Design and Engineering, Database Administration, Data Science and Knowledge Management, Enterprise Risk Management, Integration and Test, as well as Operations and Systems Support. The program is characterized by innovation and excitement, fostering meaningful engagements, and offering distinctive collaboration opportunities with users, policy makers, and mission leadership, all while maintaining a service mindset. If you thrive in a collaborative work environment and enjoy utilizing a diverse tech stack, then this opportunity is tailor-made for you!</div><div>
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For over 14 years, Visionist has been solving the Intelligence Community's toughest software and analysis challenges. As a 100% employee-owned company, we prioritize our people&mdash;your job security is assured. We embed small engineering teams with analysts to rapidly identify and solve mission capability gaps playing a critical role in defending our nation&rsquo;s cyber infrastructure &amp; providing expertise in malware analysis, attribution, mapping adversarial infrastructure, pen testing, and operational planning. Our open-door leadership team fosters a supportive culture, where internal growth and promotion opportunities are the norm. Don&rsquo;t just take our word for it&mdash;check out our 4.8-star review on Glassdoor. Join a company that feels like a family with regular happy hours, baseball games, activity clubs and more. Check us out at www.visionistinc.com.</div><div>
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Your contributions are&hellip; 
<ul><li>Rapidly prototype AI-powered tools and integrations that enhance cyber operations capabilities</li><li>Build and deploy agentic systems using modern orchestration frameworks such as LangGraph, CrewAI, or similar tools</li><li>Create custom integrations that extend AI functionality into existing security and infrastructure ecosystems</li><li>Develop Python applications that leverage multiple AI models and APIs in production</li><li>Partner directly with cyber analysts to understand workflows and identify automation opportunities with mission impact</li><li>Experiment with frontier models and techniques, quickly evaluating their operational viability</li><li>Build robust API integrations that connect AI capabilities to data sources and security tooling</li><li>Iterate rapidly based on user feedback, often shipping multiple improvements daily</li><li>Document novel approaches and contribute to the team's knowledge base</li><li>Build and maintain a library of reusable AI components and design patterns to accelerate future development</li></ul></div><div>
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Requirements for your new career&hellip; 
<ul><li>Bachelor's degree in a technical discipline. (Additional 4 years of experience may substitute degree)</li><li>3 years of experience in software development</li><li>Strong proficiency in Python</li><li>Hands-on experience building production-grade AI applications (beyond prototypes or demos)</li><li>Familiarity with modern AI frameworks and tooling (e.g., Pydantic AI, LangChain, LlamaIndex, or agent frameworks)</li><li>Experience developing and integrating APIs (REST, GraphQL, or streaming APIs)</li><li>Understanding of prompt engineering, structured outputs, and tool/function calling</li><li>Strong debugging skills and ability to troubleshoot non-deterministic AI behavior</li><li>Proficiency with Git and collaborative development workflows</li><li>Self-directed learner who thrives in fast-paced, evolving technical environments</li><li>Genuine enthusiasm for exploring what&rsquo;s possible at the frontier of AI and mission technology</li></ul></div><div>
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Benefits of becoming a Visionist: Your New Career 
<ul><li>We are a 100% employee-owned company, so our employees see the benefit of their contributions and have a stake in our overall success!</li><li>Competitive 15% retirement contribution! (5% 401K match &amp; 10% ESOP)</li><li> 4 weeks paid time off that is never &ldquo;use or lose&rdquo;, 12 paid holidays, comp time, overtime, AND flexible work hours</li><li>80 hours of paid parental leave with an additional $8,000 supplemental payment upon returning from maternity</li><li>Medical, dental, &amp; vision benefits for both individuals and families (those who waive medical benefits will receive an additional $4,160/year)</li><li>Annual lifestyle bonus of $600 &ndash; use it towards gyms/fitness, new tech, or your HSA!</li><li>Annual merit increases &amp; performance-based bonuses</li><li>Term life insurance, short-term disability, &amp; long-term disability</li></ul></div><div>
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Salary range: $115,000 - $160,000 
Disclaimer: Salary for this position, along with additional compensation options, will be determined on an individual basis following the interview process, considering various factors such as years of experience, skills, education/certifications, contract specifications, market conditions, etc.</div><div>
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Not a good fit? Check out our other opportunities: https://jobs.jobvite.com/visionist</div><div>
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Next steps: Apply online and one of our recruiters will reach out to you. We have a streamlined process of phone screen with a recruiter, interview with a Visionist team at our HQ in Columbia, MD, and that is all!</div><div>
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Interested in learning more about Visionist and the work we do? Check out our website! https://www.visionistinc.com/what-we-do</div><div>
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U.S citizenship required (green card holders and permanent residents are not eligible). Applicants selected will be required to obtain / maintain a government security clearance.</div><div>
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Visionist, Inc. is an Equal Opportunity / Protected Veterans / Individuals with Disabilities employer.</div></div>

City and County of San Francisco

<div>Company Description 
Department: DT/Emergent Technology 
Job class: 1042 IS Engineer 
Salary range: [$138,684.00 - $174,434.00] annually 
Hours: Full-time. 
Role type: Permanent Exempt (PEX), Full Time position is excluded by the Charter from the competitive civil service examination process and shall serve at the discretion of the appointment officer. The anticipated duration of this project position is thirty-six (36) months and will not result in an eligible list or permanent civil service hiring. Project-based positions cannot be ongoing or exceed 36 months.
About:<ul><li>
Application Opening: Monday, November 10, 2025</li><li>
Application Deadline: This job will close no sooner than Monday, November 24, 2025 (11:59 PM).</li></ul>
Department Description:
Are you ready to make an impact in one of the most innovative cities? The Department of Technology (DT) is looking for passionate IT professionals to help shape the future of technology in San Francisco! As the centralized technology services provider for the City and County of San Francisco (CCSF), DT delivers critical infrastructure and services to over 33,000 employees&mdash;supporting public safety, municipal broadband, cybersecurity, cloud solutions, and more! With a $140M+ annual budget and a team of 300+ experts, DT is leading the charge in digital transformation. DT provides services through our core areas of IT Excellence:<ul><li>
IT Project Management Office</li><li>
Enterprise Application Services</li><li>
Cloud Center of Excellence</li><li>
IT Operations and Support including the Service Desk and NOC</li><li>
City Infrastructure including the Network, Telcom and Data Centers</li><li>
Office of Cybersecurity including Cyber Defense, Identity Management and Disaster Recovery</li><li>
Public Safety Systems and Municipal Broadband Fiber</li><li>
SFGovTV Broadcasting Services</li><li>
IT Finance and Administration Services</li><li>
Emerging Technologies</li></ul>
Why Join Us? Innovative &amp; Impactful Work At DT, you won&rsquo;t just work on IT&mdash;you&rsquo;ll power a city. Your expertise will directly impact the residents of San Francisco, from closing the digital divide to ensuring secure, efficient city operations.
Benefits of Working for CCSF: In addition to challenging and rewarding work, the City provides a generous suite of benefits to its employees.<ul><li>
Competitive pay, benefits, and retirement options</li><li>
Career growth opportunities through training, internal mobility, and subsidized education</li><li>
Diverse work environment in a diverse city</li><li>
We offer employees the ability to work from home one day a week while spending the other four days in our San Francisco office, promoting both collaboration and work-life balance</li></ul>
We are committed to ensuring that the City services are inclusive, efficient, equitable, and culturally competent for San Franciscans of all races, ethnic backgrounds, religions, and sextual orientations. This commitment requires comprehensive review and thorough analysis of existing practices and policies to remove barriers to real inclusion. We are also committed to ensuring that we have a safe, equitable, and inclusive workplace for individuals of all races. This includes creating opportunities for hiring, promotion, training, and development, for all employees, including but not limited to, Black, Indigenous, and people of color (BIPOC).
Telecommute option: This is a hybrid role requiring on-site work at our San Francisco office. Occasional travel within San Francisco may be required 
Job Description 
We are a small, mission-driven team leading responsible AI adoption across City government within DT.
We work on:<ul><li>
 Testing and making self-service AI tools available to other departments,</li><li>
Setting technical standards for safe and responsible AI use, and</li><li>
Building and experimenting with prototypes that demonstrate the potential of applied AI.</li></ul>
As our Applied AI Engineer, your primary focus will be designing and backend AI cloud infrastructure needed to power AI services. This includes building ingestion pipelines, managing vector databases, integrating LLM APIs, and ensuring backend systems are reliable, observable, scalable, and safe.
This role is hands-on, creative, and highly collaborative &mdash; ideal for someone who enjoys working at the intersection of technology, product, and impact.
Key Responsibilities:<ul><li>
Build and manage RAG infrastructure and other cloud tools as needed (e.g., ingestion pipelines, embedding services, retrieval APIs, orchestration).</li><li>
Deploy and maintain vector databases and integrate them with AI services.</li><li>
Develop APIs and backend services that connect prototypes to LLMs and retrieval systems.</li><li>
Implement observability practices including monitoring, logging, alerting, and performance metrics to ensure system reliability and transparency.</li><li>
Use frameworks like LangChain, LlamaIndex, and related libraries to orchestrate retrieval workflows, agents, and hybrid pipelines.</li><li>
Ensure system scalability and resilience, with production-ready practices.</li><li>
Collaborate with the AI Product Engineer to integrate backend services with front-end applications and user pilots.</li><li>
Contribute to standards for safe, responsible AI adoption (data governance, security, and compliance).</li><li>
Experiment with new backend, platform, and cloud tools to stay current with the fast-evolving AI ecosystem.</li></ul> 


Qualifications 
Education:
An associate degree in computer science, computer engineering, information systems, or a closely related field from an accredited college or university OR its equivalent in terms of total course credits/units [i.e., at least sixty (60) semester or ninety (90) quarter credits/units with a minimum of twenty (20) semester or thirty (30) quarter credits/units in one of the fields above or a closely-related field].
Experience:
One (1) year of experience analyzing, installing, configuring, enhancing, and/or maintaining the components of an enterprise network.
Additional experience as described above may be substituted for the required degree on a year-for-year basis (up to a maximum of two (2) years). One (1) year is equivalent to thirty (30) semester units/r forty-five (45) quarter units with a minimum of 10 semester / 15 quarter units in one of the fields above or a closely related field.
Completion of the 1010 Information Systems Trainee Program may be substituted for the required degree.
Desirable Qualifications: 
Must-Have Skills<ul><li>
Strong experience with backend/ platform engineering</li><li>
Experience building and managing RAG pipelines using vector databases and orchestration frameworks (LangChain, LlamaIndex, LangGraph).</li><li>
Hands-on experience with observability practices and tools</li><li>
Knowledge of cloud platforms (AWS, GCP, or Azure) and containerized deployments</li><li>
Ability to work collaboratively in a small, cross-functional team and move quickly on pilots.</li></ul>
Nice-to-Have Skills<ul><li>
Knowledge of search and ranking techniques (hybrid search, rerankers).</li><li>
Familiarity with data security, privacy, and compliance in government or regulated contexts.</li><li>
Background in ML/AI infrastructure (model serving, caching, fine-tuning workflows).</li><li>
Experience contributing to technical documentation and standards.</li></ul>
Who You Are<ul><li>
Motivated by public impact and eager to shape how AI can responsibly improve services for residents.</li><li>
A builder and experimenter who takes a human-centered approach and loves creating prototypes that make AI real and useful.</li><li>
Excited by the challenge of making AI safe, transparent, and practical in government.</li><li>
Flexible and collaborative, comfortable stepping outside your core skill set to help the team succeed.</li><li>
Keen to stay current with emerging technologies</li></ul>
Note: Applicants must meet the minimum qualification requirement by the final filing date unless otherwise noted.
One-year full-time employment is considered equivalent to 2000 hours (2000 hours of qualifying work experience is based on a 40hour work week). Any overtime hours that you work above forty (40) hours per week are not included in the calculation to determine full-time employment. 
Additional Information<ul><li> 
Information About the Hiring Process</li><li>
Conviction History</li><li>
Employee Benefits Overview</li><li>
Equal Employment Opportunity</li><li>
Disaster Service Worker</li><li>
ADA Accommodation</li></ul><ul><li>
Veterans Preference</li><li>
Right to Work</li><li>
Copies of Application Documents</li><li>
Diversity Statement</li></ul>
Applicants will receive a confirmation email from notification@careers.sf.gov that their online application has been received in response to every announcement for which they file. Applicants should retain this confirmation email for their records. Failure to receive this email means that the online application was not submitted or received.
Applicants may be contacted by email about this recruitment and, therefore, it is their responsibility to ensure that their registered email address is accurate and kept up-to-date. Also, applicants must ensure that email from CCSF is not blocked on their computer by a spam filter. To prevent blocking, applicants should set up their email to accept CCSF mail from the following addresses (@sfgov.org, @sfdpw.org, @sfport.com, @flysfo.com, @sfwater.org, @sfdph.org, @asianart.org, @sfmta.com, @sfpl.org, @dcyf.org, @first5sf.org, @famsf.org, @ccsf.edu, @smartalerts.info, and @smartrecruiters.com).
Exam Analyst Information: If you have any questions regarding this recruitment or application process, please contact the analyst at jason.wong3@sfgov.org<div></div>
The City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law.</div>

APPLIED AI ENGINEER (1042) - Department of Technology

Atlassian

<div>Overview:

Working at Atlassian
Atlassians can choose where they work &ndash; whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
Responsibilities:

As a Senior Forward Deployed Engineer (FDE) at Atlassian, you&rsquo;ll be at the forefront of applied AI, working directly with customers and cross-functional teams to deliver innovative, AI-powered solutions. The FDE team partners with top organizations across industries, helping them leverage Atlassian&rsquo;s AI capabilities to solve complex, real-world problems. You&rsquo;ll collaborate with product, engineering, and design, rapidly growing your technical and domain expertise while making a tangible impact on business outcomes. This is a high-visibility, high-impact role for those who thrive in fast-paced, ambiguous environments and are passionate about shaping the future of AI-powered teamwork.
What you&rsquo;ll do
As a Senior Forward Deployed Engineer, you will:<ul><li>
Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex).</li><li>
Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems.</li><li>
Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction.</li><li>
Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency.</li><li>
Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement.</li><li>
Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks.</li><li>
Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning.</li><li>
Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership.</li><li>
Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results.</li></ul>
Qualifications:

On the first day, we'll expect you to have:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.</li><li>
5+ years of experience in backend software development.</li><li>
3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development.</li><li>
Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks.</li><li>
Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration.</li><li>
Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments.</li><li>
Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority.</li><li>
Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR).</li><li>
Strategic and innovative thinking, with a track record of aligning technical solutions to business goals.</li></ul>
It's great, but not required, if you have:<ul><li>
Experience with Atlassian Intelligence, Rovo AI, or AI-powered Atlassian features.</li><li>
Familiarity with regulated industries (e.g., finance, healthcare).</li><li>
Experience deploying AI solutions to complex production systems at scale.</li><li>
Prior experience mentoring or leading engineering teams.</li></ul>
Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $176,400 - $230,300
Zone B: $159,300 - $207,975
Zone C: $146,700 - $191,525
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
Benefits &amp; Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.</div>

Senior Forward Deployed Engineer, AI (Remote)

Google

Minimum qualifications:Bachelor's degree in Computer Science, Information Technology, Engineering, a related technical field, or equivalent practical experience.5 years of experience in software development.Experience programming with Python.Experience with data science or machine learning.Preferred qualifications:5 years of experience with data structures/algorithms.Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies. Experience with GenAI, AI Agents, or related technologies.Experience building scalable end to end software architectures that use agentic or GenAI driven capabilities.Understanding of Responsible AI practices.About The JobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.The Google Cloud Platform Generative AI Blackbelt team helps customers unlock their potential with AI. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes using AI and ML.Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.ResponsibilitiesWork with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.Provide AI expertise to support the technical relationship with Google s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud.Support developers, creators, and enterprises to leverage Google s Generative Language APIs so they can build their own AI products in the future.Travel to customer sites, conferences, and other related events as needed.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Senior Software Engineer

JPMorganChase

<div>JOB DESCRIPTION 
Join our Applied AI/ML team to advance AI in financial services and optimise business decisions. 
As an Applied AI ML Scientist/Engineer at JPMorgan Chase in the Engineering Space, you'll be at the forefront of AI innovation, utilizing cutting-edge techniques and unique data assets to optimize business decisions and automate processes. This role offers a unique blend of artificial intelligence and software engineering, enabling you to advance engineering processes and develop impactful products. You will leverage the latest research in Large Language Models, Natural Language Processing, and statistical machine learning to create AI-powered products that automate processes and enhance decision-making. Additionally, you will collaborate with engineering and testing teams to design scalable Machine Learning services and effectively communicate AI capabilities to diverse audiences.
Job Responsibilities<ul><li>
Develop advanced machine learning models to address complex operational challenges.</li><li>
Evaluating and communicating the impact brought by proposed solutions.
</li><li>Architect and oversee the deployment of generative AI applications and agents to automate and enhance business processes.</li><li>
Collaborate with senior stakeholders to understand strategic business needs and translate them into comprehensive technical solutions.</li><li>
Analyse large datasets to extract actionable insights and support data-driven decision-making at a strategic level.</li><li>
Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability.</li><li>
Stay informed about the latest advancements in AI/ML technologies and drive their integration into our operations.</li><li>
Mentor and guide junior team members, fostering a culture of innovation and continuous learning.</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on AI/ML concepts and 5+ years applied experience</li><li>
Advanced degree in a STEM field (Degree in Computer Science or Software Engineering), with experience in AI/ML.</li><li>
Proficiency in Python with a strong emphasis on code quality and reliability through comprehensive testing.</li><li>
Proven track record of AI/ML model development and deployment of AI/ML applications in a production environment, with expertise in deploying models on AWS platforms.</li><li>
Familiarity with MLOps practices, covering the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models.</li><li>
Familiarity with AI/ML frameworks such as OpenAI SDK, Langchain, TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn.</li><li>
Experience with generative AI models, mainly as cloud service APIs (e.g., OpenAI).</li><li>
Experience with integrating user feedback to establish self-improving AI applications and Familiarity with cloud platforms (AWS).</li><li>
Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.</li><li>
Excellent problem-solving skills and the ability to work independently and collaboratively.</li><li>
Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Experience in software engineering practices.</li><li>
Experience in developing AI solutions using agentic frameworks.</li><li>
Experience fine-tuning LLMs with advanced techniques.</li><li>
Experience with prompt optimisation to enhance the performance and effectiveness of prompt engineering.</li><li>
Demonstrated ability to design and implement AI application architecture.</li><li>
Significant experience in bringing AI applications to production with a focus on strategic impact and innovation.</li></ul>
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ABOUT US</div>

Lead Software Engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description &ndash; AI Engineer (Islamabad Candidates Only)</h1>
Job Title: AI Engineer 
Job Grade: Manager 
Division: Information Technology 
Department: IT Development 
Location: Islamabad (On-site) 
Line Manager: Senior Software Engineer / AI Engineering Lead 
 
Note : Please read the JD carefully before Applying<h2 class="jobSectionHeader"> 
Position Summary</h2>
The AI Engineer will be responsible for designing, developing, and deploying AI-powered applications and intelligent systems that integrate seamlessly with Android, iOS, and web platforms. This role focuses on applied machine learning, automation, and data-driven enhancements to elevate customer experience and operational efficiency. The ideal candidate will possess strong proficiency in mobile development, backend engineering with Python, and web technologies, with the ability to build, test, and scale AI-driven solutions.<h2 class="jobSectionHeader"> 
Duties and Responsibilities</h2><ul><li>
Design, develop, and maintain AI-driven functionalities for mobile (Android/iOS) and web platforms.</li><li>
Collaborate with mobile, backend, UX/UI, product, and data teams to integrate AI modules such as recommendation engines, chatbots, fraud detection, and personalization systems.</li><li>
Develop machine learning models, perform data preprocessing, and deploy models using Python frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>
Write modular, maintainable, and scalable code using industry best practices (SOLID, Clean Architecture).</li><li>
Build APIs and microservices for AI features using Flask/FastAPI or Node.js.</li><li>
Work closely with UX/UI and product counterparts to translate data insights into intelligent user experiences.</li><li>
Conduct A/B tests, performance optimization, and real-world validation of AI models.</li><li>
Integrate AI components with cloud platforms such as AWS, GCP, or Azure, ensuring compliance with security and governance standards.</li><li>
Participate actively in code reviews, knowledge-sharing sessions, and agile ceremonies.</li><li>
Stay updated with emerging AI, ML, and GenAI tools, recommending innovative solutions for Easypaisa&rsquo;s digital products.</li><li>
Demonstrate Behaviors&mdash;Be Respectful, Keep Promises, Always Explore, Create Together&mdash;across all work activities.</li></ul><h2 class="jobSectionHeader"> 
Knowledge and Experience</h2><h3 class="jobSectionHeader">
Education:</h3><ul><li>
BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.</li></ul><h3 class="jobSectionHeader">
Experience:</h3><ul><li>
Minimum 4+ years in software development with hands-on exposure to AI/ML projects.</li><li>
Proven experience with Android/iOS development, Python, and modern web technologies</li></ul><h2 class="jobSectionHeader"> 
Behavioral Skills:</h2><ul><li>
Effective Communication</li><li>
Teamwork &amp; Collaboration</li><li>
Decision Making</li><li>
Accountability</li><li>
Learning Agility</li><li>
Analytical Problem Solving</li><li>
Innovation &amp; Creativity</li></ul><h2 class="jobSectionHeader"> 
Technical Competencies:</h2><ul><li>
AI/ML Development: Flowise, PyTorch, OpenAI APIs, N8N</li><li>
Programming: Python, Swift, Kotlin, JavaScript/TypeScript</li><li>
Cloud &amp; DevOps: AWS/GCP, Docker, CI/CD</li><li>
Version Control: Git</li><li>
Data Engineering: Pandas, NumPy, SQL, data pipeline development</li><li>
Mobile &amp; Web Development: Android Studio, Xcode, React/Next.js, Flutter (optional)</li><li>
Backend &amp; APIs: REST, GraphQL, Flask/FastAPI, Node.js</li><li>
Security &amp; Compliance: Secure coding, data privacy frameworks</li></ul>
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