Gen AI Engineer [Python, LLM]
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Job Location:
McLean, MD - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Gen AI Engineer (LLM LangChain AI Agents)
Experience: 8-10 Years
Job Summary
We are seeking a Gen AI Engineer with strong expertise in Python Large Language Models (LLMs) and AI agent development using LangChain.
The ideal candidate will be responsible for designing building and deploying AI-powered solutions including intelligent agents custom tools and scalable architectures. This role requires a blend of hands-on coding innovation and architectural thinking to deliver cutting-edge Generative AI applications.
Key Responsibilities
AI & GenAI Development
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Design and develop AI-powered applications using Large Language Models (LLMs)
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Build and deploy intelligent AI agents using LangChain framework
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Develop custom tools and integrations for AI agents (MCPs / tool-based extensions)
Architecture & Solution Design
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Design scalable Gen AI architectures and workflows
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Implement end-to-end solutions including:
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Prompt engineering
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Context management
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Retrieval-Augmented Generation (RAG)
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Ensure performance scalability and reliability of AI systems
Agent Development & Orchestration
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Program and orchestrate multi-agent systems
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Build custom connectors/tools for enhanced agent capabilities
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Optimize agent performance and response quality
Innovation & Research
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Explore and implement new advancements in Generative AI and LLM ecosystems
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Continuously improve models prompts and workflows
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Prototype innovative AI use cases and solutions
Collaboration & Delivery
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Collaborate with cross-functional teams (Product Data Engineering)
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Translate business requirements into AI-driven solutions
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Participate in Agile development and code reviews
Required Skills & Experience
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8-10 years of experience in software engineering / AI development
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Strong expertise in:
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Python (mandatory)
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Generative AI / LLMs
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Hands-on experience with:
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LangChain framework
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AI Agent development
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Custom tool / MCP development for agents
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Strong understanding of:
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Prompt engineering
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RAG (Retrieval-Augmented Generation)
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AI workflows and orchestration
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Technical Skills
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Programming: Python
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Frameworks: LangChain (mandatory)
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AI: LLMs (OpenAI open-source models etc.)
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Concepts: AI Agents RAG Prompt Engineering
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APIs: REST / JSON integrations
