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ai developer

Adescare technology

<p><b>Job Title - AI DeveloperTotal Exp - 5 to 7 YearsWork Mode - Remote (2 days for office location in a month)</b><br/><b>Shift Timing - 11 AM to 8:30 PM</b><br/>Job Description:-</p><p>As a AI Software Developer, you will design and implement advanced AI/ML solutions that transform healthcare technology. You&rsquo;ll work on cutting-edge projects involving generative<br/>AI, NLP, and predictive analytics, collaborating with cross-functional teams to deliver scalable, secure, and innovative software.<b>Key Responsibilities:</b></p><ul><li>Develop and deploy AI/ML models for enterprise applications.</li><li>Implement reusable frameworks and libraries.</li><li>Collaborate with data scientists and product teams to align AI solutions with business goals.</li><li>Optimize algorithms for performance and compliance.</li></ul><p>*<br/>Proficiency in Python and AI frameworks (TensorFlow, PyTorch).</p><ul><li>Experience with cloud platforms (Azure).</li><li>Knowledge of LLMs, RAG systems, and generative AI.</li><li>Strong problem-solving and communication skills.</li></ul><p>*<br/>Participate in Agile ceremonies and ensure timely delivery. Advanced degree in AI/ML or related field.</p><ul><li>Experience with MLOps and containerization (Docker).</li><li>Familiarity with healthcare data standards and privacy regulations.</li></ul><p>Job Type: Contractual / Temporary<br/>Contract length: 12 months</p><p>Pay: &#8377;80,000.00 - &#8377;100,000.00 per month</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Work Location: Remote</p>

AI Developer

Quest Global

<div><b>Job Requirements<br>
</b><br>
<p>At Quest Global, it&rsquo;s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place&mdash;to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.</p><p></p><p><b><br>
 Developing AI / Gen AI Models and Algorithms:</b></p><p><b>
 </b>* Designing, building, and training machine learning and deep learning models.</p><ul><li>Implementing algorithms for tasks like natural language processing (NLP), computer vision, and predictive analytics.</li><li><b>Integrating AI into Applications:</b></li><li>Embedding AI functionalities into existing software systems and applications.</li><li>Developing APIs and interfaces for AI-powered features.</li><li><b>Data Handling and Processing:</b></li><li>Working with large datasets, including data cleaning, preprocessing, and feature engineering.</li><li>Ensuring data quality and integrity for AI model training.</li><li><b>Collaboration and Communication:</b></li><li>Working closely with data scientists, engineers, and stakeholders.</li><li>Communicating technical concepts to non-technical audiences.</li><li><b>Optimization and Deployment:</b></li><li>Optimizing AI models for performance, scalability, and efficiency.</li><li>Deploying AI solutions to production environments.</li><li><b>Staying Current with AI Trends:</b></li><li><b>Continuously learning and researching the latest AI technologies and advancements.</b></li></ul><p><b>
E</b></p><b><br>
Work Experience<br>
</b><br>
<p><b>Programming Languages:</b></p><ul><li><b>Proficiency in Python, and potentially other languages like Java, or C++.</b></li><li><b>Machine Learning and Deep Learning Frameworks:</b></li><li><b>Experience with libraries like TensorFlow, PyTorch, and scikit-learn.</b></li><li><b>Gen AI</b></li></ul><p><b>
 </b>Experience of various generative models like GPT, VAE, GANs, and Diffusion Models is crucial.</p><ul><li><b>Data Science Skills:</b></li><li><b>Knowledge of data analysis, statistical modeling, and data visualization.</b></li><li></li></ul><b><br>
Benefits<br>
</b><br>
<p>NA</p></div>

Emerson

<div><h1 class="jobSectionHeader"><b>Job </b><b>Summary </b><b>:
</b></h1><h1 class="jobSectionHeader">We are seeking an experienced Generative &amp; Agentic AI Developer with <b>7+ years of IT experience </b>, including strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and agent-based AI systems. This role focuses on developing and deploying advanced GenAI applications and autonomous Agentic AI workflows that enable intelligent automation, reasoning, and decision-making. The ideal candidate will have hands-on proficiency with Python, AI/ML frameworks, multi-agent orchestration platforms, prompt engineering and cloud-native environments to ensure scalable, secure, and production-ready solutions.
</h1><h1 class="jobSectionHeader"><b>In </b><b>this </b><b>Role, </b><b>Your </b><b>Responsibilities </b><b>Will </b><b>Be:
</b></h1><ul><li>Design, fine-tune, and deploy advanced GenAI models (LLMs, Diffusion, GANs, VAEs, Transformers, GNNs) for multimodal, NLP, and autonomous agentic applications.
</li><li>Engineer end-to-end RAG pipelines and multi-agent workflows using LangChain, AutoGen, Copilot, MCP.
</li><li>Integrate vector DBs (PostreSQL, Pinecone, Weaviate, Chroma, FAISS, Redis) and graph DBs (Neo4j, Postgres/pgvector) for semantic retrieval and contextual reasoning.
</li><li>Optimize foundation models (GPT-4, LLaMA, Mistral, Falcon) via prompt engineering, RLHF, LoRA, quantization, and hyperparameter tuning.
</li><li>Build scalable AI solutions using Azure AI/ML (preferred) with containerized deployments (Docker, Kubernetes).
</li><li>Apply MLOps best practices: CI/CD, model versioning, drift detection, observability, and lifecycle management with MLflow, Kubeflow, Airflow, and monitoring tools.
</li><li>Develop secure AI pipelines and APIs with Python, FastAPI/Flask, RBAC, OAuth2, JWT, and encryption standards.
</li><li>Conduct model optimization: prompt engineering, hyperparameter tuning, cross-validation, and performance monitoring.
</li><li>Use tools like Azure Machine Learning, OpenAI API, HuggingFace, or custom PyTorch/TensorFlow-based models.
</li><li>Implement AI safety, bias mitigation, interpretability (SHAP, LIME, and compliance guardrails (GDPR, HIPAA, ISO).
</li><li>Collaborate with cross-functional teams to deliver enterprise-grade copilots, assistants, and reusable AI components.
</li><li>Document AI design, model workflows, and deployment pipelines for audit readiness and knowledge sharing.
</li><li><p>Build scalable AI applications using MLOps, CICD, containerization (Docker, Kubernetes) and deploy on Azure AI Infrastructure (preferred) or AWS if needed.<br>
</p></li><p></p><li>Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field over 7+ years.
</li><li>Proven experience as a Gen AI Developer or in a similar role and proficiency in Python
</li><li>Strong Experience with Agentic Solution Development, RAG, Deep Learning, Prompt Engineering, Natural Language Processing (NLP), computer vision, optimization while maintaining performance techniques.
</li><li>Strong understanding and practical knowledge of LLMs, embeddings, RAG, and Vector Search.
</li><li>Proficient in prompt engineering and conversational AI solution design.
</li><li>Experience with AI on Azure (must), including Azure OpenAI, Azure ML, and related services.
</li><li>Deep hands-on experience in Python, CUDA, SQL, proficient with TensorFlow, PyTorch, Keras.
</li><li>Familiarity with security, bias mitigation, and responsible AI frameworks.
</li><li>Experience with MLOps practices and tools for deploying, tracking, and updating models.
</li><li>Knowledge of ML algorithms (e.g., CNNs, RNNs, SVMs, Random Forests, k-NN, Na&iuml;ve Bayes).
</li>Excellent problem-solving, communication, and team collaboration skills.<br>
<li>
</li></ul><p></p><p><b>Qualifications:
</b></p><p><b>Preferred Qualifications:
</b></p><ul><li>Certifications in AI/ML from Microsoft, AWS or Coursera/edX.
</li><li>Exposure to enterprise use cases in industries such as manufacturing, finance and other.
</li><li>Experience with AutoML, LLMOps, and performance benchmarking tools.
</li><li>Understanding of semantic search, knowledge graphs, and contextual recommendation engines.
</li><li><p>Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process
</p></li><li><p>Certified in Azure AI Fundamentals (AI-900), Azure AI Engineer Associate (AI-102), Azure Developer Associate.
</p></li><li><p>Experience with big data technologies</p></li></ul></div>

Sr. Gen AI Developer

Ai India Innovations

<p><b>Key Responsibilities:</b><br/><b>1 . AI/ML Model Development :</b>Design, build and optimize AI/ML models for clinical prediction, diagnostics, and hospital workflow optimization.Develop models for structured and unstructured medical data Implement NLP pipelines for extracting medical entities, symptoms, diagnoses and treatments from clinical text.Build computer vision models for healthcare imaging (X-ray, CT, MRI, pathology images).<br/><b>2. AI System Integration: </b>Integrate AI models with hospital systems, dashboards and workflows. Build APIs and microservices for real-time inference and automation.Implement MLOps pipelines for deployment, monitoring and updates<br/><b>3. Medical Data Processing : </b>Handle sensitive patient data with compliance-focused standards (PHI, HIPAA mindset).Work with EHR/EMR data formats and hospital information systems.Collect, clean, preprocess and annotate healthcare datasets.<br/><b>4. Requirement Understanding &amp; Domain Collaboration: </b>Work closely with doctors, clinicians and medical staff to understand real-world needs.Translate hospital pain points into technical AI solutions.Document requirements and create prototypes aligned with clinical workflows.<br/><b>5. Ai Model Evaluation &amp; Validation </b>Perform model validation using medical accuracy metrics (sensitivity, specificity, F1, AUROC).Run clinical-grade testing for real-world reliability.Ensure model explainability (XAI) for medical decision support.<br/><b>6. Research &amp; Innovation: </b>Stay updated with medical AI research, FDA-approved AI tools and healthcare AI best practices.Experiment with LLMs, RAG and domain-specific medical knowledge graphs.Innovate new AI solutions that enhance hospital efficiency and patient care.<br/><b>7. Documentation &amp; Reporting: </b>Maintain detailed documentation of datasets, model decisions and experiment logs.Present insights, findings and results to technical and medical stakeholders in simple language.</p><p><b>Required Skills &amp; Qualifications</b></p><ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.</li><li><b>3&ndash;5+ years of experience in AI/ML</b>, preferably with exposure to healthcare datasets.</li><li>Strong understanding of:</li><li>Medical terminologies</li><li>EHR/EMR systems</li><li>Clinical workflow</li><li>Hands-on experience with:</li><li>Python, TensorFlow/PyTorch</li><li>NLP and Computer Vision</li><li>LLMs, RAG, medical knowledge extraction</li><li>Data pipelines and MLOps</li><li>Ability to work closely with medical professionals and convert clinical knowledge into AI logic.</li></ul><p><b>Good-to-Have</b></p><ul><li>Prior experience in hospitals, health-tech startups, or medical AI projects.</li><li>Exposure to radiology AI, pathology AI, or medical chatbots.</li><li>Knowledge of global healthcare data standards like FHIR, DICOM.</li></ul><p><b>Soft Skills</b></p><ul><li>Strong analytical mindset and ability to understand complex medical processes.</li><li>Excellent communication skills to collaborate with non-technical medical stakeholders.</li><li>Problem-solving, attention to detail and ability to work independently.</li></ul><p>Working : Monday to Saturday</p><p><b>Location:</b> Pune<br/><b>Engagement:</b> Full-Time<br/><b>Industry:</b> AI / Healthcare, Hospitals, Medical Technology<br/>Contract : 6 months time</p><p>Job Type: Contractual / Temporary<br/>Contract length: 6 months</p><p>Pay: &#8377;50,721.08 - &#8377;80,445.88 per month</p><p>Work Location: In person</p>

Expleo Group

<div>Overview:
<div>
We are seeking an experienced <b>Agentic AI Developer</b> to design, build, and maintain intelligent agent-based systems that interact with enterprise data and workflows. The ideal candidate is a software developer turned AI practitioner &mdash; someone who has evolved with the rise of Large Language Models (LLMs) and can orchestrate multi-agent frameworks leveraging models like ChatGPT, Claude, Gemini, and others.</div><div></div><div><br>
This role involves working with our proprietary <b>agentic framework</b>, which integrates with enterprise systems via <b>MCP servers</b>, ensuring seamless data access, automation, and secure deployment across <b>GCP, AWS, and hybrid environments</b>.</div><div></div><div><b><br>
Experience Level:</b> 5+ years (with hands-on experience in AI agentic frameworks and enterprise integrations)</div>
Responsibilities:
<ul><li>Design, implement, and optimize <b>AI agent workflows</b> within our in-house agentic framework.</li><li>
Integrate multiple LLMs (OpenAI GPT, Anthropic Claude, Google Gemini, etc.) into production pipelines.</li><li>
Develop and maintain <b>enterprise connectors</b> through MCP servers for secure data access.</li><li>
Build and deploy scalable microservices and APIs to connect AI agents with existing applications.</li><li>
Manage full lifecycle: development, versioning, deployment, and maintenance using <b>GitHub</b>, <b>CI/CD</b>, and <b>containerized</b> environments.</li><li>
Collaborate with cross-functional teams (data, product, infra) to ensure AI agents meet operational and compliance standards.</li><li>
Monitor model behavior, fine-tune prompts, and optimize cost-performance balance across LLM providers.</li><li>
Contribute to ongoing R&amp;D on <b>multi-agent orchestration</b>, <b>tool usage</b>, and <b>enterprise LLM governance</b>.</li></ul>
Qualifications:
<ul><li>Prior experience developing or maintaining <b>multi-agent systems</b> for enterprise-scale data.</li><li>
Familiarity with <b>vector databases</b>, embeddings, and <b>retrieval-augmented generation (RAG)</b>.</li><li>
Exposure to <b>frontend frameworks</b> (React, Next.js) for agent dashboards or monitoring tools.</li><li>
Experience with <b>monitoring, evaluation, and safety tuning</b> of deployed AI systems.</li><li>
Contributions to open-source AI agentic projects or internal AI accelerators.</li></ul>
Essential skills:
<ul><li>Strong programming background in <b>Python</b>, <b>JavaScript (Node.js)</b>, or similar languages.</li><li>
Experience with <b>AI agentic frameworks</b>, <b>LangChain</b>, <b>CrewAI</b>, <b>LangGraph</b>, or similar orchestration tools.</li><li>
Hands-on with <b>multiple LLM APIs</b> (ChatGPT, Gemini, Claude, Mistral, etc.) and prompt engineering best practices.</li><li>
Experience with <b>cloud infrastructure</b>: GCP (Vertex AI, BigQuery), AWS (Bedrock, S3, Lambda), and containerization (Docker, Kubernetes).</li><li>
Familiarity with <b>MCP server architecture</b> and <b>enterprise data integrations (REST, GraphQL, MongoDB, SQL)</b>.</li><li>
Proficient in version control and DevOps workflows (GitHub Actions, Terraform, etc.).</li><li>
Understanding of <b>security, access management, and compliance</b> for enterprise AI systems.</li></ul>
Desired skills:
<ul><li>Strong analytical mindset and debugging ability.</li><li>
Proven collaboration in multi-disciplinary teams (AI, infra).</li><li>
Curiosity-driven, keeps up with fast-moving developments in LLM and agent ecosystems.</li><li>
Excellent documentation and communication skills.</li></ul></div>

Agentic AI Developer / LLM Engineer

Nao Medical

<div><h2 class="jobSectionHeader"><b>About the Company</b></h2>
<div>
Nao Medical is a rapidly growing multispecialty, multi-site, and AI-infused practice dedicated to providing exceptional and affordable care. We operate through five main business segments: Primary Care, Urgent Care, Occupational Health, Mental Health, and Nutrition.</div>
<p>
Our AI-first operating model has led to the development of proprietary technology that enhances every clinician&rsquo;s workflow, enabling them to deliver faster, smarter, and more personalized care. With a vision to become the leading national player in tech-enabled healthcare, we are expanding our technology team to power the next generation of healthcare innovation.</p>
<h2 class="jobSectionHeader"><b>
Position Overview</b></h2>
<p>
We are seeking an experienced Full Stack Gen AI Developer / Software Engineer to design, develop, and deploy scalable AI-driven applications that support Nao Medical&rsquo;s mission to revolutionize healthcare.</p>
<p>
The ideal candidate is a strong full-stack engineer with deep knowledge of Python and React/Next.js, capable of managing both front-end and back-end development, integrating LLMs and APIs, and deploying applications to the cloud. You should be able to work independently within fixed project timelines while maintaining clean, production-grade code.</p>
<p>
This is a remote, full-time position for candidates who are passionate about merging technology and healthcare innovation.</p>
<h2 class="jobSectionHeader"><b>
Why Join Nao Medical</b></h2>
<p>
 At Nao Medical, technology is at the core of transforming patient care. This role offers:</p>
<ul><li>
<p><b>High-Impact Projects:</b> Build and deploy AI-driven tools that enhance patient experiences and provider workflows.</p>
</li><li>
<div><b>Cutting-Edge Stack:</b> Work with the latest frameworks in AI, Python, Node.js, and React.</div>
</li><li>
<div><b>Innovation Culture:</b> Collaborate with data scientists, AI engineers, and clinicians solving real-world healthcare challenges.</div>
</li><li>
<p><b>Career Growth:</b> Join a scaling health-tech organization with opportunities for rapid advancement and continuous learning.</p>
</li></ul>
<h2 class="jobSectionHeader"><b>Primary Responsibilities</b></h2>
<p><b>
Full-Stack Development</b></p>
<ul><li>
<p>Develop and maintain scalable web applications using <b>React/Next.js</b> (frontend) and <b>Python/Node.js</b> (backend).</p>
</li><li>
<div>Integrate <b>Gen AI</b> models, APIs, and data pipelines into production systems.</div>
</li><li>
<p>Write clean, maintainable, and efficient code following best software engineering practices.</p>
</li></ul>
<p><b>Backend Engineering</b></p>
<ul><li>
<p>Build RESTful APIs and microservices using <b>Python (Flask/FastAPI)</b> or <b>Node.js</b>.</p>
</li><li>
<div>Implement business logic, data processing pipelines, and secure authentication flows.</div>
</li><li>
<p>Deploy and manage containerized applications using <b>Docker</b>.</p>
</li></ul>
<p><b>Frontend Engineering</b></p>
<ul><li>
<p>Design intuitive user interfaces and implement responsive, performant front-end components using <b>React/Next.js</b>.</p>
</li><li>
<p>Collaborate with UI/UX designers to create user-centric applications.</p>
</li></ul>
<p><b>Cloud Deployment</b></p>
<ul><li>
<p>Deploy, monitor, and manage applications in <b>GCP</b>, <b>Azure</b>, or equivalent cloud environments.</p>
</li><li>
<p>Implement CI/CD pipelines and basic infrastructure-as-code where applicable.</p>
</li></ul>
<p><b>Collaboration &amp; Delivery</b></p>
<ul><li>
<p>Work closely with the Product, AI, and Operations teams to deliver projects on schedule.</p>
</li><li>
<div>Participate in sprint planning, code reviews, and continuous improvement discussions.</div>
</li><li>
<p>Document development processes and maintain technical clarity across teams.</p>
</li></ul>
<h2 class="jobSectionHeader"><b>Job Requirements</b></h2>
<div><b>
Education:</b></div>
<ul><li>
<p>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related technical field.</p>
</li><li>
<p>Advanced degree or certifications in cloud computing or full-stack development is a plus.</p>
</li></ul>
<div><b>Experience:</b></div>
<ul><li>
<p>3&ndash;5+ years of professional experience as a <b>Full Stack Developer</b> or <b>Software Engineer</b>.</p>
</li><li>
<p>Proven experience developing and deploying production-ready web applications.</p>
</li></ul>
<p><b>Technical Skills</b></p>
<ul><li>
<p><b>Frontend:</b> React, Next.js, HTML, CSS, JavaScript/TypeScript.</p>
</li><li>
<div><b>Backend:</b> Python (Flask/FastAPI required), Node.js.</div>
</li><li>
<div><b>Databases:</b> PostgreSQL, MySQL, MongoDB, or other relational/NoSQL systems.</div>
</li><li>
<div><b>Cloud Platforms:</b> GCP, Azure (AWS a plus).</div>
</li><li>
<div><b>DevOps:</b> Docker, CI/CD pipelines, Git/GitHub for version control.</div>
</li><li>
<p><b>AI/ML Integration:</b> Familiarity with LLMs, OpenAI APIs, or model integration workflows (preferred).</p>
</li></ul>
<p><b>Soft Skills</b></p>
<ul><li>
<p>Excellent communication and problem-solving abilities.</p>
</li><li>
<div>Strong sense of ownership, accountability, and attention to detail.</div>
</li><li>
<p>Ability to work independently and manage time effectively within fixed project deadlines.</p>
</li></ul>
<div><b>Schedule Requirements:</b></div><br>
<div></div>
<ul><li>
<div>Full-Time | 30&ndash;40 hours per week.</div>
</li><li>
<p>Flexible schedule (Eastern Time preferred).</p></li></ul><br>
<div></div>
<div><b>
Technical Requirements:</b></div><br>
<ul><li>
<div>Reliable wired internet connection (100 Mbps minimum).</div>
</li><li>
<div>Computer/laptop with Intel Core i5 or Ryzen 5 processor, 8GB RAM minimum, and 128GB free storage.</div>
</li><li>
<div>Dual-screen setup preferred for enhanced productivity.</div>
</li><li>
<div>Operating system: Windows 10 or macOS (latest version).</div>
</li><li>
<div>Clear webcam (1080p or higher resolution) and microphone for communication.</div>
</li><li>
<div>Backup systems for electricity and internet outages.</div></li></ul><br>
<div></div>
<div><b>
Benefits:</b></div>
<ul><li>
<p><b>Competitive Compensation Package:</b> Base salary plus performance-based incentives.</p>
</li><li>
<div><b>Remote Work with Earned Flexibility:</b> Fully remote role with flexible scheduling opportunities upon proven reliability.</div>
</li><li>
<div><b>Professional Development:</b> Access to continued learning, training, and certifications.</div>
</li><li>
<p><b>Paid Time Off (PTO).</b></p>
</li></ul>
<p>At Nao Medical, we&rsquo;re redefining healthcare with empathy, technology, and innovation. Over the past 13 years, we&rsquo;ve proudly served more than a million patients&mdash;and we&rsquo;re just getting started.</p>
<p>
If you&rsquo;re a driven engineer passionate about building technology that makes a real-world impact, <b>apply now</b> and help us create the future of patient care.</p>
<p><b><i>
Experience the Nao Medical difference. Join us in transforming healthcare, Nao!</i></b></p><div><b><br>
Education:</b></div>
<ul><li>
<p>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related technical field.</p>
</li><li>
<p>Advanced degree or certifications in cloud computing or full-stack development is a plus.</p>
</li></ul>
<div><b>Experience:</b></div>
<ul><li>
<p>3&ndash;5+ years of professional experience as a <b>Full Stack Developer</b> or <b>Software Engineer</b>.</p>
</li><li>
<p>Proven experience developing and deploying production-ready web applications.</p>
</li></ul>
<p><b>Technical Skills</b></p>
<ul><li>
<p><b>Frontend:</b> React, Next.js, HTML, CSS, JavaScript/TypeScript.</p>
</li><li>
<div><b>Backend:</b> Python (Flask/FastAPI required), Node.js.</div>
</li><li>
<div><b>Databases:</b> PostgreSQL, MySQL, MongoDB, or other relational/NoSQL systems.</div>
</li><li>
<div><b>Cloud Platforms:</b> GCP, Azure (AWS a plus).</div>
</li><li>
<div><b>DevOps:</b> Docker, CI/CD pipelines, Git/GitHub for version control.</div>
</li><li>
<p><b>AI/ML Integration:</b> Familiarity with LLMs, OpenAI APIs, or model integration workflows (preferred).</p>
</li></ul>
<p><b>Soft Skills</b></p>
<ul><li>
<p>Excellent communication and problem-solving abilities.</p>
</li><li>
<div>Strong sense of ownership, accountability, and attention to detail.</div>
</li><li>
<p>Ability to work independently and manage time effectively within fixed project deadlines.</p>
</li></ul>
<div><b>Schedule Requirements:</b></div><br>
<div></div>
<ul><li>
<div>Full-Time | 30&ndash;40 hours per week.</div>
</li><li>
<p>Flexible schedule (Eastern Time preferred).</p></li></ul><br>
<div></div>
<div><b>
Technical Requirements:</b></div><br>
<ul><li>
<div>Reliable wired internet connection (100 Mbps minimum).</div>
</li><li>
<div>Computer/laptop with Intel Core i5 or Ryzen 5 processor, 8GB RAM minimum, and 128GB free storage.</div>
</li><li>
<div>Dual-screen setup preferred for enhanced productivity.</div>
</li><li>
<div>Operating system: Windows 10 or macOS (latest version).</div>
</li><li>
<div>Clear webcam (1080p or higher resolution) and microphone for communication.</div>
</li><li>
<div>Backup systems for electricity and internet outages.</div></li></ul></div><p></p>

Full Stack Gen AI Developer

Shine Infosoft

<p></p><div><div><div><h4 class="jobSectionHeader"><b>Job Summary</b></h4>
<p>We are looking for a highly skilled and passionate Python AI Developer with 2 to 4 years of experience to join our dynamic team. The ideal candidate will have hands-on experience with Python frameworks such as Flask, Django, and FastAPI, and will be proficient in implementing AI-driven solutions, specifically using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and OpenAI APIs. This role will focus on developing scalable backend applications, integrating cutting-edge AI technologies, and designing performant, reliable APIs for internal and external use.</p>
<h4 class="jobSectionHeader"><b>Key Responsibilities</b></h4>
<ul><li>Backend Development: Design, develop, and deploy scalable backend applications using Flask, Django, and FastAPI.</li>
<li>AI/ML Model Integration: Build and integrate AI/ML models, including Large Language Models (LLMs) for natural language processing (NLP) and automation tasks.</li>
<li>Retrieval-Augmented Generation (RAG): Implement RAG pipelines, including vector database integrations (e.g., Pinecone, FAISS, Chroma, Weaviate).</li>
<li>AI Ecosystem Integration: Work with OpenAI, Hugging Face, LangChain, and other AI tools to build intelligent, cutting-edge applications.</li>
<li>API Development: Develop and manage RESTful and GraphQL APIs to integrate with both internal and external systems.</li>
<li>Performance Optimisation: Optimise code performance, ensure data security, and maintain system reliability at scale.</li>
<li>Cross-functional Collaboration: Collaborate with data scientists, front-end developers, and product teams to deliver end-to-end AI solutions.</li>
<li>Research &amp; Innovation: Continuously research and evaluate emerging AI technologies and Python frameworks to enhance the team's capabilities and products.</li>
</ul><h4 class="jobSectionHeader"><b>Required Skills and Qualifications</b></h4>
<ul><li>Programming Languages: Advanced proficiency in Python.</li>
<li>Frameworks: Experience with Flask, Django, FastAPI for backend development.</li>
<li>AI/ML Tools:
<ul><li>Expertise in working with OpenAI API, LangChain, Hugging Face.</li>
<li>Familiarity with Retrieval-Augmented Generation (RAG) architectures and vector databases like Pinecone, FAISS, Chroma, Weaviate.</li>
<li>Experience with LlamaIndex and other tools in the AI ecosystem.</li>
</ul></li><li>Databases: Proficiency in working with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, and Redis.</li>
<li>Cloud &amp; DevOps: Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes (preferred).</li>
<li>Version Control: Proficiency in using Git and GitHub/GitLab for version control.</li>
<li>Others: Strong knowledge in RESTful API design, microservices architecture, JSON, and WebSocket.</li>
<li>Educational Background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.</li>
<li>AI Model Expertise: Hands-on experience with prompt engineering and fine-tuning large language models (LLMs).</li>
<li>MLOps Knowledge: Familiarity with AI model deployment pipelines and MLOps practices.</li>
<li>AI Integration: Knowledge of data preprocessing, feature engineering, and integrating AI models into web applications.</li>
</ul><h4 class="jobSectionHeader"><b>Soft Skills</b></h4>
<ul><li>Analytical Thinking: Strong problem-solving and analytical skills to tackle complex AI challenges.</li>
<li>Communication: Excellent communication skills to collaborate effectively with cross-functional teams.</li>
<li>Teamwork: Strong teamwork abilities, able to work collaboratively and contribute to team success.</li>
<li>Proactive Mindset: Proactive attitude with a passion for exploring and experimenting with emerging AI technologies.</li></ul></div></div></div><p></p>
<br><p>If you have zeal and fire in belly to be become partner rather than employee, than reply now hr@shineinfosoft.in</p>

Python AI/ML Developer

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