Sr Gen AI Engineer

Coforge Limited; Dallas (TX); In loco; USD 140.000 - 210.000; Tempo pieno

Descrizione del lavoro

Coforge is hiring a Sr Gen AI Engineer to design and deliver agentic AI solutions at scale. You will collaborate with business, IT and product stakeholders to translate requirements into robust AI-enabled services, with emphasis on governance, observability and cost optimization.

The role involves hands-on development across LLMs, frameworks and cloud platforms. Bring 7+ years of experience in AI/ML, strong Python and OO design skills, and a track record of delivering enterprise-grade AI systems

Competenze

• Experience designing agentic systems and orchestration.
• 2+ years building AI solutions with LLMs.
• Strong understanding of transformer models.
• Skilled in prompt design and optimization.
• Familiarity with vector DBs and RAG patterns.
• Ability to evaluate LLM outputs and benchmarks.
• Ability to monitor production models, optimize costs and detect drift.
• Experience creating governance for responsible AI.
• Familiar with AI tooling (Copilot, Cursor, Claude Code).
• Knowledge of experimentation, KPIs and operational analytics.
• Proficient in Python; knowledge of Java or enterprise language.
• Good OO design and cloud-native patterns.
• Experience with CI/CD and DevOps toolchains.
• Experience designing RESTful APIs.
• Experience with Agile/SCRUM.

Mansioni

• Collaborate with leaders, analysts, PMs and customers to capture AI requirements.
• Maintain and enhance enterprise AI services using DDD and TDD.
• Lead technical direction for agentic solutions.
• Troubleshoot complex issues and implement fixes.
• Create detailed specs, requirements and estimates.
• Research new AI tech to improve security and performance.
• Work with architects to ensure scalable, long-term solutions.
• Contribute to pioneering AI projects with business value.
• Participate in all development phases following Agile and TDD.
• Partner with a diverse team to harness cutting-edge AI tech.

Conoscenze

Agentic systems

LLM development

Transformer architectures

Prompt engineering

Vector databases

LLM evaluation

Observability & cost

AI governance

AI development tools

Experimentation & analytics

Python

Java

OO design

Cloud platforms

CI/CD

RESTful APIs

Agile/SCRUM

Office tools

Strumenti

Semantic Kernel

LangChain

LangGraph

Copilot Studio

OpenAI tool-calling

Anthropic tool-calling

GitHub Copilot

Cursor

Claude Code

Pinecone

FAISS

Weaviate

Chroma

Descrizione del lavoro

Experience: 7+ years

We at Coforge are hiring a Sr Gen AI Engineer with the following skillset:

Key Responsibilities:

• Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions.
• Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development.
• Serve as technical lead in developing Agentic solutions.
• Troubleshoot and debug complex issues; identify and implement solutions.
• Create detailed project specifications, requirements, and estimates.
• Research and implement new AI technologies to enhance current processes, security, and performance.
• Work closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs.
• Work on pioneering projects that harness the power of artificial intelligence to solve complex problems and create significant business value.
• Responsible for participating in all phases of the development process, following agile processes and test-driven development, and using object-oriented development tools to analyze, model, design, construct and test reusable objects.
• Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions.

Required Skills:

• Prior experience designing and building agentic systems.
• 2+ years prior experience developing and implementing AI solutions using Large-Language Models (LLMs).
• Practical understanding of transformer architectures and how modern LLMs work.
• Experience building agentic orchestration using frameworks such as Semantic Kernel, LangChain/LangGraph, Microsoft Copilot Studio, OpenAI/Anthropic tool-calling patterns, or equivalent internal frameworks.
• Proficiency in prompt engineering: systematic prompt design, few-shot learning, chain-of-thought, and prompt optimization for foundation models.
• Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma) and RAG architecture patterns.
• Experience with LLM evaluation methods, including LLM-as-a-judge, automated benchmarking, and regression testing for model outputs.
• Proficiency in post-deployment model maintenance, including observability, monitoring, cost optimization, and drift detection.
• Experience developing and implementing governance frameworks and controls for responsible AI.
• Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) is a plus.
• Knowledge of experimentation and measurement: A/B testing, KPI instrumentation, and operational analytics.
• Strong proficiency in Python; working knowledge of Java or another enterprise language.
• Proficiency in object-oriented design techniques and principles.
• Experience with cloud platforms (Azure, AWS, or GCP) and cloud-native development patterns.
• Experience with CI/CD pipelines and DevOps toolchain: Git, GitHub, Jenkins, ADO Pipelines, or equivalent.
• Experience with RESTful API design and integration patterns (JSON, microservices).
• Experience in Agile methodologies, such as SCRUM.
• Proficiency in Microsoft Office Tools (Project, Excel, Word, PowerPoint, etc.).