ai integration engineer

Openkyber

<div>Job Title: AI/ML Engineer
Location: Dallas, TX, Duration: 12 months
Skill: AI/ML Engineer
Qualification : PhD in computer science ( AI/ML )
Skills : Recent PhD from top US universities in CS, EE, CE, Telecom/Networks with emphasis on 5G/RAN/ORAN, AI/ML, Java, Python, Cloud. Strong communication and leadership skills.
For applications and inquiries, contact: hirings@openkyber.com</div>

Java AI / ML Integration Engineer

BlueCross BlueShield of Tennessee

<div>BlueCross BlueShield of Tennessee (a taxpaying, not-for-profit health plan) is recruiting top talent to help us accelerate responsible AI transformation across the enterprise. In these fully remote Senior AI Workflow Engineering roles, you'll design, build, and operationalize AI‑enabled workflows to improve efficiency, scalability, and outcomes for 3.4 million members and communities we serve. 
We&rsquo;re targeting candidates who bring expertise in AI and enterprise transformation to directly support business leaders across our company, including divisions like:<ul><li>
Legal</li><li>
Commercial</li><li>
Government Relations</li><li>
Commercial Finance</li><li>
BlueCare</li><li>
Strategic Communications</li><li>
Provider Network Management</li><li>
+ more</li></ul>
What We&rsquo;ll Be Excited to See:<ul><li>
Experience building practical, responsible AI workflows in a regulated industry (especially healthcare)</li><li>
Expertise with AI‑enabled workflows, automation, or system integration</li><li>
Experience with generative AI, LLMs, and/or agent‑based tools</li><li>
Curiosity, a growth mindset, and comfort working in fast‑moving, collaborative environments</li></ul>
Additional information on our AI Workflow Engineering opportunities:<ul><li>
These are full-time, fully remote positions with comprehensive benefits included.</li><li>
Final interviews will take place in-person at our Chattanooga, TN headquarters.</li><li>
We cannot currently hire candidates living in CA, NY, NJ, NH or MA.</li><li>
Benefits begin the first date of employment.</li><li>
Sponsorship is not available for these roles.</li><li>
Exact title, leveling and offer details will be determined only after your interview (and are dependent on your individual skills, experience and interview performance).</li><li>
We are not accepting unsolicited assistance from search firms for these employment opportunities.</li><li>
Receiving an invitation to interview does not guarantee employment.</li></ul>
Below are the minimum qualifications to be considered for a Senior AI Workflow Engineering role:
Job Responsibilities
Process Discovery &amp; Business Partnership<ul><li>
Partner with security and legal teams to ensure all AI solutions are compliant with healthcare regulations, including HIPAA, and align with internal data security and privacy policies.</li><li>
Conduct qualitative and quantitative analysis to define clear business requirements and translate operational challenges into actionable workflow designs.</li></ul>
AI Workflow Design &amp; Engineering<ul><li>
Architect and deploy AI-enabled workflows integrating internal systems, APIs, and third-party platforms.</li><li>
Incorporate AI components such as LLM agents and retrieval pipelines.</li></ul>
Adoption, Training &amp; Change Leadership<ul><li>
Present workflow solutions to stakeholders and lead training sessions.</li><li>
Act as an evangelist for AI adoption across the enterprise and contribute to AI playbooks and operational standards.</li><li>
 Establish telemetry for performance, drift, and cost.</li><li>
Troubleshoot issues and identify issues and opportunities to improve workflow efficiency and additional automation.</li></ul>
Job Qualifications
Education<ul><li><div>
Bachelor&rsquo;s degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required. Master&rsquo;s or PhD degree is a plus</div></li></ul>
Experience<ul><li>
4+ years software engineering experience including automation pipelines or an equivalent combination of education, training, and demonstrated skills.</li><li>
Strong proficiency in Python; experience with cloud platforms.</li><li>
Understanding of APIs, orchestration, and integration patterns.</li><li>
Experience with Generative AI, LLM integration, or agent frameworks.</li><li>
Strong communication and stakeholder-collaboration skills.</li></ul>
Skills/Certifications<ul><li>
Advanced proficiency in Python and associated AI/ML libraries and frameworks.</li><li>
Deep experience with LLMs, NLP, and GenAI frameworks (LangChain, HuggingFace, LlamaIndex).</li><li>
Familiarity with containerization (Docker, Kubernetes) and microservices architecture.</li><li>
Basic analytical and problem-solving skills.</li><li>
Good verbal and written communication skills. Ability to document work clearly.</li><li>
Strong business acumen and ability to translate strategic priorities into technical requirements.</li><li>
Highly organized, reliable, capable of managing multiple complex tasks, demonstrating an exceptional work ethic and strategic thinking.</li></ul>
Number of Openings Available
0
Worker Type:
Employee
Company:
Applying for this job indicates your acknowledgement and understanding of the following statements:
BCBST will recruit, hire, train and promote individuals in all job classifications without regard to race, religion, color, age, sex, national origin, citizenship, pregnancy, veteran status, sexual orientation, physical or mental disability, gender identity, or any other characteristic protected by applicable law.
Further information regarding BCBST's EEO Policies/Notices may be found by reviewing the following page:
BCBST's EEO Policies/Notices
BlueCross BlueShield of Tennessee is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at BlueCross BlueShield of Tennessee via-email, the Internet or any other method without a valid, written Direct Placement Agreement in place for this position from BlueCross BlueShield of Tennessee HR/Talent Acquisition will not be considered. No fee will be paid in the event the applicant is hired by BlueCross BlueShield of Tennessee as a result of the referral or through other means.</div>

Senior AI Workflow Engineers

Cooley LLP

<div>Cooley is seeking an Artificial Intelligence (&ldquo;AI&rdquo;) Solutions Engineer to join the Practice Engineering team within the Innovation department.
Position summary: As the leading technology law firm, Cooley is determined to become a leader in the digital practice of law. Cooley Innovation embraces a culture of customer service excellence, and all members of the department are expected to move this agenda forward. To that end, under the direction of the Manager of Product Engineering, and collaborating directly with practitioners, technical teams, and innovation stakeholders, the Artificial Intelligence (&ldquo;AI&rdquo;) Solutions Engineer leads process automation initiatives by driving prototype-based discovery and building functional workflow demonstrations that validate repeatable, end-to-end processes&mdash;from defined inputs through tool orchestration to outputs that meet specified acceptance criteria. This includes developing multi-step automations that combine deterministic scripting with AI workflows, including advanced prompting, retrieval-augmented generation (RAG), and agentic techniques. This role partners across multiple domains including Practice Innovation, Knowledge Management, Software Engineering, as well as resource attorneys and other practitioners across a range of offices and practice areas. Specific duties and responsibilities include, but are not limited to, the following:
Position responsibilities:<ul><li>
Responsible for the management, design and development and testing of legal workflow automations, form-building solutions and expert knowledge systems</li><li>
Elicit attorney/practitioner requirements, map end-to-end process steps, define decision points and failure modes, and produce clear acceptance criteria and test cases that make the workflow measurable and reviewable</li><li>
Rapidly build and iterate working proofs-of-concept that validate feasibility of repeatable processes, combining deterministic logic (rules/scripting) with AI steps (prompting, retrieval, tool-use/agents) to produce usable outputs aligned to acceptance criteria</li><li>
Working with Knowledge Management and practitioners, create/maintain the workflow&rsquo;s &ldquo;source of truth&rdquo; (playbooks, templates, matter-type guidance, clause libraries, FAQs), implement retrieval strategies and citation/traceability expectations, and partner with attorneys to ensure substantive content accuracy and ongoing governance of knowledge updates</li><li>
Evaluate AI and technology components; design measurable validation workflows (including Python-based integrations) to test use cases, assess feasibility, and generate stakeholder-ready findings</li><li>
Build RPA workflows and API integrations to measure and report adoption and performance; deliver executive-facing analytics that enable leadership advocacy and decision-making</li><li>
Design and maintain knowledge applications, including working with Knowledge Management and attorneys to ensure substantive legal content is accurate</li><li>
Coordinate training, support, documentation and resource material in support of processes and systems</li><li>
Engage with end-users to gather feedback, observe and map routines and processes</li><li>
Create and maintain project planning documentation, including business end-user requirements, user and administrative workflows and quality assurance procedures</li><li>
All other duties as assigned or required</li></ul>
Skills and experience:
Required:<ul><li>
After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications</li><li>
Ability to work extended and/or weekend hours, as required</li><li>
Ability to travel, as required</li><li>
3+ years direct applicable experience (e.g., delivery of GenAI-powered workflows and solutions)</li><li>
Experience with API-driven integrations, workflow automations, document automation (e.g. excel and docx), and generative AI</li><li>
Experience working with MCP servers and building agentic workflows using MCP and non-MCP tools</li><li>
Experience designing and implementing retrieval-grounded generation in permissioned environments</li><li>
Proficiency extracting from and creating common enterprise file formats like docx, pptx, xlsx, pdf, etc.</li></ul>
Preferred:<ul><li>
Bachelor&rsquo;s degree</li><li>
Working knowledge of business analysis, knowledge management, information systems or other-related field</li><li>
Experience working in professional services, or a legal services environment with preference to experience in AMLAW 200 law firm or in-house legal department with greater than 50 attorneys</li><li>
Knowledge of legal concepts related to the business of the firm and the legal industry</li><li>
Familiarity with agile development methodologies</li><li>
Experience engaging with end-users to gather feedback, observe and map routines and processes</li><li>
Ability to deliver AI-enabled workflows within confidentiality/approved-AI policy constraints and governance expectations</li><li>
Excellent attention to detail</li><li>
Excellent analytical skills</li><li>
Excellent time management and project management skills, with ability to work independently to meet objectives and deadlines</li><li>
Ability to work as a member of a client-service oriented team in a professional, approachable manner</li><li>
Strong customer focus, with an emphasis on efficient and effective communications</li><li>
Solid relationship management, presentation and collaboration skills</li><li>
Unwavering ability to handle and maintain confidentiality regarding firm information, projects, client data</li><li>
Ability to work independently and take initiative while ensuring compliance with team standards in development, delivery and support of business systems</li><li>
Entrepreneurial by nature</li><li>
Ability to organize, prioritize and coordinate multiple activities often under tight timelines</li><li>
Ability to drive projects to completion and achieve goals</li><li>
Team-player with collaborative spirit</li></ul>
Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.
EOE.
The expected annual pay range for this position with a full-time schedule is $120,000 - $175,000. Senior level candidates may be considered for this position and would be eligible for a higher salary range based on experience. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.
We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&amp;D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&amp;D, LTD, short term medical benefits as well as 21 days of Paid Time Off (&ldquo;PTO&rdquo;) and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.</div>

Artificial Intelligence (“AI”) Solutions Engineer

Viome Life Sciences

<div>About Viome

Viome is redefining how people understand and manage their health &mdash; using AI, molecular biology, and data science to deliver insights no one else can. We're a well-funded health-tech company based in Bellevue, WA, with the resources of an established business and the ambition of a team that believes the health industry is ready to be fundamentally disrupted. We're not here to make things slightly better. We're here to change the game.

The Role

This is not a typical engineering role. We are looking for a Full-Stack Software Engineer who will focus entirely on moonshot innovation on the consumer side of Viome. Your job is to identify and build functional leaps &mdash; not incremental improvements &mdash; that fundamentally change how people manage their health and help Viome capture market share at a different scale.

You will work in a small, autonomous team with the mandate to think big, move fast, and ship bold ideas. If a concept can shift user behavior, unlock a new market segment, or create an experience no competitor can match &mdash; that's what you'll be building.
<h3 class="jobSectionHeader">
Responsibilities
</h3><div><ul><li>Identify and build breakthrough consumer features that create step-function changes in how users interact with their health data
</li>
<li>Own ideas end-to-end: from early-stage prototyping and rapid experimentation to production-grade delivery
</li>
<li>Work across the full stack &mdash; frontend experiences, backend services, AI integrations &mdash; with a bias toward shipping fast and learning from real users
</li>
<li>Challenge assumptions about what a health platform can be; propose and test bold product concepts that go beyond what's been done
</li>
<li>Collaborate with data science, AI, and product teams to translate Viome's deep biological intelligence into consumer experiences people love
</li>
<li>Operate with a test-and-learn mindset: build, measure, iterate &mdash; and kill ideas quickly when the data says so
</li>
<li>Help define the engineering culture of a team that prizes creativity, speed, and outsized impact over process and predictability
</li>
</ul></div><h3 class="jobSectionHeader">Requirements
</h3><div><ul><li>A builder who gets restless with incremental work &mdash; you want to create things that didn't exist before
</li>
<li>3+ years of full-stack dev experience (PHP, Capacitor, VueJS, React, React-Native, Python, or similar), familiarity with Claude Code.
</li>
<li>Comfortable with multimodal apps for both web and mobile; familiar with deployment to Apple/Android stores.
</li>
<li>Competence with unix shells (Linux/FreeBSD/equivalent), managing databases (Postgres/MySQL)
</li>
<li>Deep comfort with ambiguity: you can take a loose idea, shape it, and turn it into something real without waiting for a spec
</li>
<li>A strong sense of consumer products &mdash; you think about why something matters to a user, not just how to build it
</li>
<li>Experience with cloud platforms (AWS, GCP, or Azure) and bare metal installs.
</li>
<li>Interest in health, wellness, or the intersection of biology and technology &mdash; you care about the mission.
</li>
</ul></div><h3 class="jobSectionHeader">Why This Role Is Different</h3>
Most engineering roles ask you to optimize what exists. This one asks you to imagine what's next. You'll have the backing of a well-funded company, access to proprietary AI and biological data that no competitor has, and the freedom to take big swings on the consumer experience. The goal is simple: build the things that make Viome unmissable.<div></div><div> 

At Viome, we are committed to pay transparency and equity. We comply with Washington State's Equal Pay and Opportunities Act (EPOA) and believe in providing fair and equitable compensation to all of our employees.

Join Viome and Enjoy a Comprehensive Benefits Package:
<ul>
<li>Insurance: Up to 80% employer-paid premium for individuals and 75% for families, including health (United Healthcare), dental, and vision (Guardian), plus 100% coverage for basic life, AD&amp;D insurance, and long-term disability.
</li>
<li>Flexible Time Off: We offer a flexible time-off policy to support work-life balance, allowing you to manage personal needs effectively.
</li>
<li>Employee Assistance Program (EAP): Access expert advice through LifeWorks on family, work, financial, legal, and health issues, supporting your well-being beyond work.</li>
</ul>
Become part of a team that values your health, growth, and contributions to the health industry.

We believe that transparency in pay is essential to promoting fairness and accountability in our workplace. Therefore, we will provide candidates with the salary range for this position during the interview process. We also welcome and encourage candidates to discuss their compensation expectations with us during this process. 

</div><div>
Why Viome
<ul>
<li>Moonshot mandate: This role exists to pursue breakthrough ideas, not roadmap tickets
</li>
<li>Well-funded and stable: The resources and runway to go big &mdash; without the financial uncertainty of a typical startup
</li>
<li>Small team, outsized impact: Every engineer shapes the product; no one disappears into a backlog
</li>
<li>Proprietary advantage: Viome's AI and molecular data create possibilities no other company can offer
</li>
<li>Comprehensive benefits: Competitive salary, strong health insurance, family-friendly benefits, and equity participation
</li>
<li>Location: Bellevue, WA. This position is in-office 5 days a week.</li> 
</ul>
</div><div></div><div>We are an equal opportunity employer and do not discriminate based on race, color, religion, sex, national origin, age, disability, or any other legally protected status. We value diversity, equity, and inclusion, and are committed to creating a workplace that reflects these values.</div> 
<div></div>

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

Full-Stack Software Engineer Innovation

<div>Software Developer 2 (1670)
Austin, Texas (Hybrid- Position is ONSITE/Hybrid at the location listed above (with some hybrid work determined by the hiring manager). The program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY.)
3 Months Contract Required
<ul><li>4 Years - Experience in AI/ML engineering or advanced data science</li>
<li>4 Years - Proven track record of building and deploying production-grade autonomous agents.</li>
<li>4 Years - Strong experience in context engineering</li>
<li>4 Years - Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT.</li>
<li>4 Years - Experience implementing RAG architectures using vector databases</li>
<li>4 Years - Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI)</li>
<li>4 Years - Experience integrating LLMs via APIs</li>
<li>Knowledge of AI governance, model lifecycle management, and evaluation</li>
<li>4 Years - Experience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to local and remote data sources</li>
<li>Experience implementing AI guardrails, content filtering, and safety controls</li>
<li>4 Years - Understanding of data privacy and handling of sensitive data (PII/PHI)</li>
<li>Preferred 2 Years - Experience building multi-agent or autonomous agentic workflows</li>
<li>2 Years - Experience optimizing LLM cost, token usage, and performance</li>
<li>2 Years - Familiarity with enterprise AI deployment patterns and scalability considerations</li>
</ul>For applications and inquiries, contact: hirings@openkyber.com</div>

OpenAM

NVIDIA

<div>NVIDIA&rsquo;s HW team is seeking highly motivated Engineers to assist in developing and integrating AI capabilities into verification tasks. As part of this team, you will play a key role in improving verification flows and creating AI agents that boost efficiency across teams by deploying various verification techniques. You will build and maintain the core infrastructure needed to run these agents in production, ensuring smooth and effective performance. If you are passionate about the latest research and innovative technologies crafting LLM and generative AI, this role and team offer an exciting chance to lead modern advancements.
What you'll be doing:<ul><li>
Play a key role in design, development, and deployment of high-performance agents&rsquo; frameworks and tools.</li><li>
Develop AI agents that process sizable codebases and bypass failures to support coding and debugging efforts.</li><li>
Collaborate with HW engineering teams to understand their specific needs and challenges and ensure our agent platform is well-suited to these needs.</li><li>
Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications.</li><li>
Stay ahead by engaging with the latest advancements in machine learning and AI to build brand new solutions.</li><li>
Integrate technology-based optimizations into existing tools and flows.</li><li>
Lead with purpose and maintain high-quality engineering practices that encourage others to achieve excellence.</li></ul>
What we need to see:<ul><li>
BS/MS/PhD or equivalent experience in CS/CE/EE/Mathematics.</li><li>
5+ years of relevant experience.</li><li>
Strong proficiency in agentic LLM Libraries/Technologies like LangChain, LangGraph, AutoGen, CrewAI, RAGs, vector databases, timely engineering, knowledge graphs, etc.</li><li>
Solid understanding of GPU/CPU architectures and builds.</li><li>
Strong analytical skills to solve complex problems.</li><li>
Knowledge of HW verification methodologies and techniques.</li><li>
Hands-on experience with Verilog/System Verilog HDLs, temporal logic assertions, and able to understand complex RTL quickly.</li><li>
Excellent command of scripting using Python.</li><li>
Excellent interpersonal skills, able to effectively collaborate and work with members of a distributed team.</li></ul>
Ways to stand out from the crowd:<ul><li>
Proven track record of integrating AI into hardware verification processes.</li><li>
Experience with innovative generative AI technologies.</li><li>
Demonstrated leadership in cross-functional team environments.</li><li>
Strong problem-solving abilities.</li><li>
Outstanding skills in optimizing AI algorithms for performance.</li></ul>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.<div><div><div><div><div><div><div>
You will also be eligible for equity and benefits.</div></div></div></div></div></div></div>
Applications for this job will be accepted at least until April 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div>

AI for Design Engineer

Zoolatech

<div><div><div><div><div><div><div><div>OVERVIEW</div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div>ATRC's Data &amp; AI Office is a product and platform execution team &mdash; not a traditional enterprise data function. We build and operate AI-enabled systems that create measurable operational impact across the organization. Our primary output is working software in production.
What we are building &mdash; now:<ul><li>
An executive reporting portal serving senior leadership, integrating live data from SAP, Microsoft 365, SuccessFactors, and internal systems across multiple operational views (finance &amp; budget, KPIs, technology portfolio, news, wellbeing, and a personalized executive home)</li><li>
A sovereign data and AI platform: data warehouse, governed pipelines, metadata catalog, and classification enforcement across all entities</li><li>
Data mesh architecture with federated ownership &mdash; each entity owns its data products; the platform provides governed access</li><li>
Data readiness for the organization's agentic AI platform &mdash; clean, structured, governed data so AI agents can operate on trusted sources</li><li>
Operational AI agents delivering real value on top of the agentic platform (document triage, anomaly detection, automated briefings, classification automation)</li><li>
AI-enabled situational awareness and crisis management systems</li><li>
Data governance and classification &mdash; managing an active external vendor engagement, bridging framework deliverables into platform-enforced rules, and building the ongoing
governance operations the organization requires</li></ul>
How we work:<ul><li>
Small team, high ownership &mdash; every engineer owns a module end-to-end</li><li>
Two-week sprints with demonstrated output at every review</li><li>
Ship and improve &mdash; working systems beat perfect designs</li><li>
Core team owns all architecture and product decisions; external capacity executes within defined scope</li><li>
Decisions take hours, not weeks. Daily technical choices are made by the engineer.</li><li>
Feature scope decisions take 24 hours. Architecture pivots take 48 hours. Nothing sits in limbo.</li><li>
Oversee 5 other workstreams powered by 3rd party vendors within the ecosystem but whom we are ultimately accountable for</li></ul>
</div><div>Owns the API architecture &mdash; every dashboard panel, every workflow, every integration runs through what you design.
Mission
You are the senior backend engineer and the architect of the API layer that all frontends, agents, and integrations depend on. You design the API contracts, the authentication flow, the workflow state machines, and the integration patterns. You build the core services yourself. Near-term: the FastAPI service powering the executive portal &mdash; all endpoints for budget data, KPIs, approvals, action tracking, and role-based access. Medium-term: the API backbone for crisis management systems, agent service endpoints, communications dispatch, and enterprise system integration contracts.
What This Role Owns<ul><li>
API architecture: endpoint design, request/response contracts, versioning strategy, error standardization, OpenAPI spec generation</li><li>
Authentication and authorization: Azure AD SSO, MFA enforcement, role-based access control (executive read-only, operational read/write, admin)</li><li>
Workflow state machines: approval flows, posture transitions, action tracking &mdash; with immutable audit logging at every transition</li><li>
Session management: Redis-backed sessions, token refresh, expiry handling</li><li>
Integration design: patterns for connecting to enterprise systems at the application layer</li><li>
Agent service endpoints: backend services that AI agents call &mdash; tool endpoints, data retrieval, action execution</li><li>
Communications integration: email dispatch, messaging APIs, notification services</li><li>
Test coverage: unit tests, integration tests, and contract tests across all API endpoints</li></ul>
Key Decisions<ul><li>
API contract &mdash; endpoint naming, schemas, HTTP status codes, error format</li><li>
Authentication flow &mdash; token lifecycle, MFA enforcement points, role hierarchy</li><li>
Workflow state transitions &mdash; what is permitted, logged, irreversible</li><li>
Rate limiting, throttling, and idempotency design</li><li>
Technology choices within the approved backend stack</li></ul>
Does Not Do<ul><li>
Build or manage data ingestion pipelines (Data Platform Engineers)</li><li>
Write AI prompts or call LLM APIs directly (AI Engineer)</li><li>
Build frontend components (Full Stack Engineer)</li><li>
Define the database schema (Principal Data Architect)</li><li>
Define governance policies (Governance Lead)</li></ul>
Ideal Candidate
Has designed and built a multi-role, authenticated REST API consumed by a frontend team that understood it the next morning without a walkthrough. Owns the API contract as a product &mdash; clear naming, consistent errors, auto-generated docs. Thinks carefully about state: no unlogged transitions, no silent failures, no ambiguous 200 responses. Fast &mdash; can scaffold a working FastAPI service with auth, DB, and Redis in a day.
</div><div><ul><li>10+ years of experience with Python 3.10+ - type hints, async/await, exception handling</li><li>
FastAPI &mdash; async handlers, dependency injection, Pydantic models, middleware</li><li>
PostgreSQL &mdash; ORM (SQLAlchemy), raw query optimization, transaction management</li><li>
Azure AD &mdash; OAuth 2.0, JWT validation, MSAL, RBAC</li><li>
Redis &mdash; session store, distributed lock patterns, caching</li><li>
REST API design &mdash; versioning, error standardization, OpenAPI spec generation</li><li>
Docker + Azure App Service deployment</li><li>
GitHub Actions CI/CD</li><li>
pytest &mdash; unit and integration test coverage</li><li>
State machine design for multi-step workflows</li></ul>
</div></div></div><div><div><div><div>Location:
<div>Istanbul, Turkey
</div></div><div>Seniority:
<div>Senior
</div></div><div>Technologies:
<div>Python
</div></div></div></div><div><div>Benefits:
<ul><li>Paid Vacation
</li><li>Hybrid Work (home/office)
</li><li>Sick Days
</li><li>Sport/Insurance Compensation
</li><li>Holidays Day Off
</li><li>English Classes
</li><li>Training Compensation
</li><li>Transportation compensation</li></ul></div></div></div></div></div></div>

Backend / Systems Engineer

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