Gen AI Engineer Job at Citi (Chennai)

Gen AI Engineer

We are currently seeking a Gen AI Engineer to join our team in a hybrid basis ei...

Location

United States , New York/Dallas

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years of software development in one or more languages (Python, C/C++, Go, Java)
strong hands-on experience building and maintaining large-scale Python applications preferred
3+ years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows
Practical experience with Large Language Models (LLMs): API integration, prompt engineering, fine-tuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution)
Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude)
Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions
Strong analytical problem-solving, ownership, and urgency
ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact

Job Responsibility

Build agentic AI systems: Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol
Productionize LLMs: Build evaluation framework for open-source and foundational LLMs
implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations
Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability
Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps
Safety, reliability, and governance: Build validator models, adversarial prompts, and policy checks into the stack
Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation
Build a RAG pipeline: Curate domain-knowledge
build data-quality validation framework
establish feedback loops and milestone framework maintain knowledge freshness

Fulltime

Gen Ai Engineer

We are looking for a skilled Generative AI Developer to join our Controls Techno...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras)
Familiarity with LLMs, prompt engineering, and fine-tuning (e.g., LoRA, QLoRA)
Exposure to RAG systems and basic knowledge of hybrid search techniques
Understanding of model deployment and containerization (Docker)
Proficiency in Python for AI development, data preprocessing, and scripting
Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus
Understanding of version control systems (Git)
Awareness of AI compliance, data privacy, and responsible AI principles
Strong teamwork and communication abilities
Willingness to learn new AI/ML technologies and frameworks

Job Responsibility

Implement and fine-tune generative AI models under the guidance of senior team members
Contribute to prompt engineering and development of AI-powered workflows
Assist with the deployment, monitoring, and maintenance of AI models in production environments
Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities
Perform data preprocessing, feature engineering, and API development for AI applications
Participate in code reviews, testing, and documentation to ensure quality and reliability
Stay updated with advancements in GenAI and share relevant learnings with the team

Fulltime

Gen AI Engineer

Location

United States , Tampa, FL / Dallas TX

Salary:

143000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Strong experience with Python (mandatory)
exposure to Java/TypeScript is a plus
Hands-on experience with LLMs and GenAI frameworks (e.g., LangChain-style orchestration, agent frameworks)
Experience with Agentic AI concepts: planning, tool use, memory, multi-agent coordination
Experience with vector databases and semantic search
API integration and microservices architecture
Cloud platforms (Azure / AWS / GCP)
Understanding of NLP, deep learning, and transformer-based models
Experience with model evaluation, hallucination mitigation, and prompt optimization
Familiarity with Responsible AI, security, and data privacy principles

Job Responsibility

Design and implement GenAI solutions using LLMs for text, code, and knowledge-based use cases
Develop prompt engineering, prompt orchestration, and reusable prompt libraries
Fine-tune and evaluate LLMs for enterprise-specific tasks
Integrate GenAI capabilities into applications, APIs, and workflows
Design and implement agentic architectures (planner, executor, evaluator, memory)
Build multi-agent systems with task decomposition, tool usage, and feedback loops
Enable agents to interact with enterprise tools, APIs, databases, and knowledge stores
Implement agent memory, reasoning chains, and self-reflection mechanisms
Define end-to-end AI solution architecture (cloud, APIs, security, observability)
Implement Retrieval-Augmented Generation (RAG) with vector databases

Fulltime

Gen AI Engineer

We are seeking an AI Engineer specializing in Generative AI and Agentic AI syste...

Location

United States , Frederick

Salary:

200000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in Python, LLM frameworks, and ML/DL libraries (Transformers, PyTorch, TensorFlow, scikit-learn)
Experience with API development, microservices, Docker, and Kubernetes
Experience building RAG systems with vector databases and embeddings
Experience with agentic frameworks or building custom autonomous agents
Strong understanding of LLM safety, hallucination mitigation, and evaluation techniques
Cloud proficiency in Azure (or any other hyperscalers - AWS, GCP etc.)
Strong analytical reasoning, problem-solving, and design thinking skills
Comfortable working in fast-paced, agile, innovation-driven environments
Curiosity and a passion for emerging AI research, prototyping, and experimentation

Job Responsibility

Build and deploy LLM-based applications leveraging frameworks like LangChain
Develop RAG pipelines using vector databases for enterprise knowledge retrieval
Develop data pipelines to create structured and unstructured datasets for LLM and agent workflows
Optimize prompts, system instructions, and memory architectures for robust, domain-specific reasoning
Evaluate model performance—accuracy, hallucination mitigation, latency, and safety compliance
Implement agentic systems capable of planning, reasoning, tool usage, and multi-step decision-making
Build multi-agent ecosystems (task agents, planning agents, critic agents, evaluation agents) to automate complex workflows
Integrate agents with APIs, enterprise systems, and external tools to create end-to-end autonomous solutions
Ensure agent alignment with Responsible AI principles—traceability, guardrails, human oversight
Build scalable microservices and APIs for GenAI and agentic components

Fulltime

Gen AI Engineer

We are seeking an experienced AI / GenAI Engineer with 5–8 years of experience t...

Location

India , Mumbai

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science or related field (or equivalent experience)
5–8 years of hands-on software development experience
Strong programming skills in Python and/or Java
Solid experience with GitHub workflows and CI/CD pipelines
Understanding of secure SDLC practices and vulnerability management
Experience working in DevOps environments
Strong problem-solving, debugging, and automation mindset

Job Responsibility

AI‑Led SDLC Automation (Primary Focus)
Generate code artifacts from Jira technical specifications
Enable AI-assisted code generation using Python and/or Java
Implement AI-powered pull request (PR) summarization and contextual code reviews
Automate unit test generation during PR workflows
Detect vulnerabilities and automatically generate AI-driven fix PRs
Generate deployment configurations using pre-built templates
Embed policy-as-code and security guardrails within CI/CD pipelines
DevOps & Platform Enablement
Integrate AI agents into GitHub workflows and CI/CD pipelines

Fulltime

Gen AI Engineer

Location

United States , Irving, TX / Tampa, FL / Edison, NJ

Salary:

115000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Strong hands-on Python knowledge
Hands-on experience in developing API Development in Python using FastAPI/ Flask framework
Working experience in Data Processing, AI enabled workflows using python
Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI
Basic knowledge of Hybrid prompting technique
Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc.

Job Responsibility

AI workflow development
Prompt engineering
Deployment and maintenance of AI models across all environments including Production
Code review, testing and documentation
Continuous learning in Generative AI related fields

Fulltime

Gen AI Engineer

Location

United States , Irving; Tampa; Edison

Salary:

115000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Strong hands-on Python knowledge
Hands-on experience in developing API Development in Python using FastAPI/ Flask framework
Working experience in Data Processing, AI enabled workflows using python
Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI
Basic knowledge of Hybrid prompting technique
Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc.

Job Responsibility

AI workflow development
Prompt engineering
Deployment and maintenance of AI models across all environments including Production
Code review, testing and documentation
Continuous learning in Generative AI related fields

Fulltime

Gen AI Engineer

Location

United States , Tampa, FL / Dallas TX

Salary:

143000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Strong experience with Python (mandatory)
exposure to Java/TypeScript is a plus
Hands-on experience with LLMs and GenAI frameworks (e.g., LangChain-style orchestration, agent frameworks)
Experience with Agentic AI concepts: planning, tool use, memory, multi-agent coordination
Experience with vector databases and semantic search
API integration and microservices architecture
Cloud platforms (Azure / AWS / GCP)
Understanding of NLP, deep learning, and transformer-based models
Experience with model evaluation, hallucination mitigation, and prompt optimization
Familiarity with Responsible AI, security, and data privacy principles

Job Responsibility

Design and implement GenAI solutions using LLMs for text, code, and knowledge-based use cases
Develop prompt engineering, prompt orchestration, and reusable prompt libraries
Fine-tune and evaluate LLMs for enterprise-specific tasks
Integrate GenAI capabilities into applications, APIs, and workflows
Design and implement agentic architectures (planner, executor, evaluator, memory)
Build multi-agent systems with task decomposition, tool usage, and feedback loops
Enable agents to interact with enterprise tools, APIs, databases, and knowledge stores
Implement agent memory, reasoning chains, and self-reflection mechanisms
Define end-to-end AI solution architecture (cloud, APIs, security, observability)
Implement Retrieval-Augmented Generation (RAG) with vector databases

Fulltime

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