Ai Software Engineer LLMs, RAG & Agentic AI Job at Myn (Brussels)

Sr Software Engineer, Agentic AI

This role is responsible for designing, developing, and deploying scalable softw...

Location

United States , Atlanta; Bellevue

Salary:

113600.00 - 205000.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
Acceptable areas of study include Computer Science, Software Engineering, Information Management or equivalent experience in field
4-7 years Technical engineering experience
Strong communication, collaboration, and customer-focused problem-solving skills
Strong analytical, troubleshooting, and technical documentation abilities
Experience developing scalable software applications and AI-enabled services using Python, Java, or C++
Experience with cloud-native distributed systems, APIs, microservices, and real-time integration platforms
Familiarity with LLMs, conversational AI, agentic AI workflows, and AI orchestration frameworks
Experience building AI-driven automation, RAG solutions, and enterprise AI integrations
Understanding of scalability, reliability, observability, and secure software engineering best practices for production AI systems

Job Responsibility

Design, develop, test, and deploy scalable software and Agentic AI solutions to support enterprise automation, intelligent workflows, and customer engagement platforms
Build and enhance AI-enabled applications, backend services, APIs, and integration components using modern software engineering and cloud-native best practices
Develop and implement multi-step AI workflows, orchestration logic, and agent-based systems leveraging LLMs, RAG architectures, and AI automation frameworks
Contribute to the design of microservices and distributed systems supporting real-time voice and text-based customer interactions at scale
Collaborate with cross-functional engineering, AI, platform, and product teams to deliver secure, reliable, and high-performing AI-driven solutions
Evaluate emerging AI technologies, frameworks, and engineering practices to support innovation and align with business and technology strategy
Implement AI reliability, monitoring, observability, security, and governance best practices, including guardrails and human-in-the-loop workflows
Create and maintain technical documentation for software solutions, AI workflows, APIs, system architecture, and operational processes
Mentor team members through technical guidance, code reviews, knowledge sharing, and adoption of AI engineering best practices
Support continuous improvement initiatives, operational excellence, and other engineering projects as assigned by business leadership

What we offer

Medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off and up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care
enhanced family support

Fulltime

Principal Software Engineer (AI / Agentic Developer Productivity)

Are you a Software Engineer already at the forefront of agentic AI development —...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Prior experience building with Agent SDKs, large language models (LLMs), prompt engineering, or AI orchestration frameworks (e.g., LangChain, Semantic Kernel, AutoGen, LlamaIndex, or similar)
Familiarity with agentic AI development patterns — multi-step reasoning, tool/function calling, retrieval-augmented generation (RAG), and human-in-the-loop workflows
Proven experience as a Software Engineer delivering large-scale, production-quality systems
Proficient software engineering fundamentals: system design, algorithms, testing, debugging, and code review
Demonstrated ability to lead technical direction and mentor peers in a collaborative team environment
Comfort working in ambiguous, fast-moving problem spaces where best practices are still being established
Hands-on experience with AI-powered developer tooling and coding assistants, such as GitHub Copilot and Copilot Workspace, Claude Code, OpenAI Codex / ChatGPT, Cursor
Prior experience using agentic plugins, agents, skills, hooks, etc.
Experience dogfooding, evaluating, and forming opinions on emerging AI developer tools, and translating those insights into team-wide best practices

Job Responsibility

Own and deliver complete features across the development lifecycle, including design, architecture, implementation, testability, debugging, shipping, and servicing
Use AI in your daily coding and advocate to the team and customers an evolving state-of-the-art of how best to do this
Demonstrate resiliency to experiment and try multiple AI approaches that may not work — because no one has tried them before
Provide mentorship and coaching to engineers in, and beyond, your team
Write and review clean, well-thought-out code with an emphasis on quality, performance, simplicity, durability, scalability, and maintainability
Contribute positively to a culture where everyone can bring their full and authentic self and where we do our best work as a result

Fulltime

Senior AI Engineer I - Agentic AI

As a Senior AI Engineer II – Agentic AI, you will be a core builder responsible ...

Location

India , Bengaluru Urban; CHENNAI

Salary:

Not provided

Amex

Expiration Date

Until further notice

Requirements

5+ years of software engineering experience, including meaningful production experience with LLMs or applied ML systems
A track record of shipping AI-powered or agentic systems that real users depend on
Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure
Hands-on experience with modern LLM tooling and agentic patterns and architectures
Fluency with AI-assisted and agentic development workflows
Strong sense of ownership and sound technical judgment
Comfort operating with ambiguity and turning it into shipped reliable product
A strong product mindset and customer orientation

Job Responsibility

Design, build, and ship LLM-powered and agentic product features that change how customers manage their finances
Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure
Architect and implement production-grade RAG pipelines over sensitive financial data, with strict requirements for correctness, auditability, and safety
Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation and monitoring tooling, that scales agentic development across Amex Technology
Own the systems you build in production, including reliability, latency, cost, and failure modes
Work closely with product and design partners
engineers in this role are expected to think in terms of customer outcomes, not just technical execution

What we offer

Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

Senior LLM & Agentic AI Engineer

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8-11 years of software engineering experience
2+ years of hands-on experience building GenAI or LLM-powered applications
Strong experience with GPT, Claude, Gemini, or similar LLMs
Strong experience with LangChain, LangGraph, CrewAI, or AI Agent frameworks
Strong experience with Retrieval-Augmented Generation (RAG)
Strong experience with Vector databases
Strong experience with Prompt Engineering
Strong programming skills in Java and/or Python
Experience building REST APIs and microservices
Familiarity with cloud platforms and modern software development practices

Job Responsibility

Design and deploy enterprise-grade GenAI applications using GPT, Claude, Gemini, or equivalent LLMs
Build Agentic AI solutions using frameworks such as LangChain, LangGraph, CrewAI, or similar
Develop multi-agent systems to automate customer journeys and business workflows
Implement advanced prompt engineering, evaluation frameworks, and guardrails to improve AI response quality
Design and optimize Retrieval-Augmented Generation (RAG) architectures
Integrate vector databases and enterprise knowledge repositories
Improve retrieval accuracy, response relevance, and grounding of AI-generated content
Build scalable backend services and APIs using Java and/or Python
Develop cloud-native microservices and integrate AI capabilities into customer-facing applications
Collaborate with architects, product managers, and business stakeholders to deliver high-impact solutions

Fulltime

Lead Agentic Ai Engineer

Citi's Wholesale Technology organization is seeking an exceptional, hands-on Lea...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6–10 years of relevant experience in an AI/ML development role, Applications Development, or Systems Analysis, with a substantial and demonstrated focus on Python technologies
Minimum 2+ years of professional experience in software development with a focus on AI, prompt engineering, machine learning, and/or agentic AI systems
Proven track record as a lead developer for agentic flow design, prompt design, and testing of autonomous AI systems with deep expertise in Google ADK
Subject Matter Expert (SME) in at least one area of Applications Development, particularly Python application development (Django, Flask, FastAPI)
Python (expert-level): FastAPI, Django, Flask, asyncio, PySpark — strong fundamentals in algorithms, data structures, concurrency, and design patterns
Proficient in Java (Spring Boot, Spring Cloud), JavaScript/TypeScript (React, Next.js, Node.js), and SQL/data modeling
Experience across AWS, Azure, and GCP with Docker, Kubernetes, and CI/CD pipelines
Proficient in MLOps practices including model versioning, deployment, and lifecycle management
Strong foundation in secure API design, microservices, event-driven architecture, and distributed systems with expertise in testing, Git workflows, and performance optimization
Deep expertise in LLMs (OpenAI GPT, Gemini, Claude, Llama) with hands-on experience in LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, and Google ADK

Job Responsibility

Lead end-to-end design, development, and deployment of large-scale agentic AI solutions using Google Agent Development Kit (ADK) and frameworks such as LangChain, LangGraph
Architect advanced multi-agent systems (perception, reasoning, planning, execution) integrating multiple LLM providers (OpenAI, Anthropic, Google Gemini)
Build AI-powered capabilities using Google Gemini, Vertex AI, Agent Development Kit (ADK), Google A2UI, vector databases, RAG pipelines, semantic search, and advanced prompt and context management
Engineer autonomous agents incorporating planning, tool usage, memory management, and multi-step reasoning patterns
Develop scalable, high-performance backend services in Python (FastAPI, asyncio) with resilient APIs, event-driven designs, and microservices architectures
Build and maintain robust data pipelines working with SQL (Oracle, PostgreSQL) and NoSQL (MongoDB) databases
Implement secure REST APIs and agent interfaces with strong authentication, authorization (OAuth), and encryption best practices
Optimize AI agent performance, latency, and cost through prompt optimization, caching strategies, and vector index tuning
Provide architectural guidance for Next-Generation AI (NGAI) initiatives, ensuring adherence to CTO guidelines and platform standards
Develop and maintain a strategic roadmap for generative AI adoption, evaluating new models, techniques, and platforms

Fulltime

Generative Ai Software Engineer, Technology Strategy – Assistant Vice President

Do you thrive on solving complex problems and building full-stack solutions that...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Strong hands-on experience building applications using LLMs
Experience with Prompt Engineering, RAG architectures, vector databases, agent frameworks, and evaluation techniques
Exposure to frameworks such as LangChain, LangGraph, Google ADK, AutoGen, CrewAI, or similar
Strong proficiency in Python and modern backend development
Experience with TypeScript/JavaScript and modern front-end frameworks such as React
Ability to build end-to-end products from concept through deployment
Experience with Docker, Kubernetes, and cloud-native architectures
Knowledge of AWS, Azure, or GCP services
Familiarity with CI/CD, observability, and production deployment practices
Experience with PostgreSQL and NoSQL databases

Job Responsibility

Take part in design and development of user‑facing capabilities for our Technology Strategy platform and our next generation of AI agents — including the Tech Strategy Assistant and the AI Metrics Assistant

Fulltime