Senior LLM & Agentic AI Engineer Job at Citi (Chennai)

Senior AI Engineer (Agentic AI / LLM Engineering)

We’re partnering with a rapidly growing, innovation-focused organization that is...

Location

United States

Salary:

Not provided

Zeektek

Expiration Date

Until further notice

Requirements

5+ years of experience in software engineering, data engineering, or AI/ML engineering
Hands-on experience building applications using LLMs (e.g., GPT, open-source models)
Experience with agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI, or similar)
Strong programming skills in Python
Experience working with large datasets and distributed data platforms
Familiarity with Databricks or similar modern data platforms
Experience building production-grade AI systems (not just POCs)
Strong understanding of prompt engineering and LLM optimization techniques

Job Responsibility

Design and build agentic AI systems leveraging large language models (LLMs)
Develop scalable AI solutions using modern data and AI platforms (Databricks preferred)
Translate business problems into production-ready AI workflows and applications
Collaborate with product and architecture teams to define AI use cases and technical approaches
Implement and optimize: Prompt engineering strategies
Token usage and cost efficiency
Model performance and response quality
Work with large-scale datasets to support training, fine-tuning, and inference workflows
Contribute to the development of AI engineering standards, frameworks, and best practices
Partner with data science teams to integrate models into production environments

What we offer

Weekly Direct Deposit
401K Matching
Competitive medical, dental and vision insurance
Consistent communication throughout your project
ZeekTek Referral Program

Senior Ai Engineer (Agentic & Generative Ai)

We are seeking a Senior AI Engineer to design and deploy Agentic and Generative ...

Location

Malaysia , Kuala Lumpur

Salary:

8000.00 - 12000.00 RM / Month

Randstad

Expiration Date

July 06, 2026

Requirements

Mastery of Python
Professional proficiency in LangChain for orchestration and PyTorch for model development/fine-tuning
Expert-level prompt engineering and experience in refining LLM performance for enterprise applications
Proven experience deploying scalable AI solutions on cloud platforms, specifically Azure or AWS
Strong understanding of feature engineering, data management, and automated visualization techniques

Job Responsibility

Develop and optimize RAG pipelines and multi-agent systems to facilitate autonomous decision-making and collaboration
Utilize Model Context Protocol (MCP) and Python to integrate AI models with external systems and Master Data Management (MDM) platforms
Build and maintain CI/CD pipelines via Azure AI Foundry for model training, testing, and real-time performance monitoring
Collaborate with stakeholders to translate business requirements into technical AI use cases, including automated visual inspection and financial reporting
Ensure all solutions adhere to enterprise standards for security, data privacy, and Ethical AI

What we offer

Hybrid working arrangements

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 AI Engineer – Agentic Systems

My client is looking for an experienced AI Engineer to help build agentic system...

Location

United Arab Emirates , Dubai

Salary:

Not provided

Salt

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science or equivalent practical experience
5+ years of hands-on experience in applied machine learning, NLP, or AI systems development
Strong experience working with large language models (GPT-4, Claude, or similar), including prompt engineering, fine-tuning, or API-based deployment
Proven experience building RAG pipelines using embeddings and vector databases
Knowledge of agentic and multi-agent systems, task orchestration, and related architectures
Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, etc.)
Experience with agent orchestration tools such as LangChain, LangGraph, Temporal, n8n, or custom-built stacks
Solid understanding of enterprise software fundamentals: APIs, CI/CD, version control, monitoring, and performance optimisation
Strong communication skills and the ability to thrive in a fast-paced, evolving startup environment

Job Responsibility

Design, build, and deploy autonomous AI agents using modern orchestration layers (n8n, Temporal, and agentic frameworks)
Create intelligent, context-aware workflows that integrate deeply with enterprise systems such as CRMs, databases, and internal tools
Develop multi-agent architectures including planner-executor patterns, memory layers, persona-based behaviours, and tool-using agents
Push the limits of Retrieval-Augmented Generation (RAG), embeddings, and vector search to ground agent decisions in real-time enterprise data
Integrate and optimise LLMs (OpenAI, Anthropic, Claude, etc.) alongside enterprise APIs and services
Own the AI pipeline end-to-end: context construction, prompting, evaluation, deployment, monitoring, and iteration
Set standards for reliability, latency, safety, and trust as AI becomes embedded in mission-critical workflows
Collaborate closely with product and design to identify high-impact use cases where AI delivers 10x value

What we offer

Top-tier compensation and meaningful equity with strong upside
Latest MacBook Pro and high-end workstation setup
Paid AI tools and cloud credits to experiment and build freely
Premium health, wellness, and learning budgets
Flexible PTO and working hours
A culture that values ownership, curiosity, and shipping real products – and celebrates every win

Fulltime

Senior Agentic AI Engineer

As a Senior Agentic AI Engineer in the DMTE team, you'll be the driving force be...

Location

United Kingdom , Cambridge

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

Proven experience building agentic AI systems that generate, optimize, and deliver scalable applications in production environments
Strong software engineering foundation with a track record of shipping reliable, performant systems at scale
Deep familiarity with modern LLM orchestration tools, prompt engineering techniques, and AI/ML frameworks
Experience with retrieval-augmented generation (RAG), function/tool calling, and evaluation-driven development for AI agents
A builder's mentality — you don't just use AI tools, you create autonomous systems that multiply the impact of entire teams
Proficiency in TypeScript (or similar languages) and Python for agent development, scripting, and pipeline automation
A software engineer's instinct for reliability, testability, and clean architecture — applied to the unique challenges of non-deterministic AI systems
Excellent technical communication, root cause analysis abilities, and a proactive mindset with passion for fast iteration

Job Responsibility

Design, build, and deploy agentic AI systems that autonomously generate, test, and optimize BrightScript/TypeScript code and UI experiences for the FRAME engine
Architect multi-agent workflows (planning, tool-use, retrieval, execution, validation) that accelerate development and reduce manual engineering effort across the team
Develop AI-powered automation that understands the constraints of embedded C++ environments and produces performance-safe, memory-efficient outputs
Build and maintain evaluation frameworks to measure agent reliability, accuracy, and performance in production-critical contexts
Collaborate with cross-functional teams (firmware, UI, product) to identify high-impact opportunities for AI-driven automation and intelligent tooling
Stay at the forefront of agentic AI research — including LLM orchestration, RAG, function calling, and autonomous code generation — and bring those advances into our platform
Mentor engineers across the team on AI-first development practices and help establish best practices for human-agent collaboration

What we offer

Global access to mental health and financial wellness support and resources
Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)
Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs

Fulltime

Senior Agentic AI Engineer

As an Agentic AI Engineer, you are passionate about experience innovation and ea...

Location

Argentina

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Experience as a full-stack or backend engineer building production systems
Strong foundation in software engineering fundamentals (APIs, data modeling, system design)
Familiarity with databases, data stores, and data modeling concepts
Hands-on experience working with LLMs (via OpenAI, Anthropic, or similar), including prompt design and evaluation
Experience integrating applications with enterprise data sources (APIs, databases, analytics platforms)
Comfort working in early-stage, ambiguous problem spaces where patterns are still emerging
Ability to communicate clearly with technical and non-technical stakeholders
Willingness to work on a Mac-based development environment
Experience using AI-assisted development tools (Cursor, Copilot, etc.) as part of daily workflow
Advanced English skills

Job Responsibility

Design and build agentic AI systems that facilitate conversational workflows for seller enablement
Develop a chat-based seller assistant that answers seller questions using enterprise data, provides insights on ordering, pricing, and customer behavior, and generates pre-visit one-pagers to guide sales conversations
Integrate large language models (e.g., Claude, ChatGPT) with internal data sources and APIs
Apply prompt engineering, context engineering, and agent orchestration techniques to improve reliability and usefulness
Build and evolve the platform using LangChain and LangGraph (initially in Python)
Design persistence and data access layers using Mongo or other data stores
Collaborate closely with product, analytics, and engineering partners to shape both technical direction and use cases
Serve as a champion for modern AI coding assistant tools (e.g., Cursor) within the team
Help define standards and best practices as this AI capability scales

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts
Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts

Fulltime

Senior Agentic AI Engineer

As an Agentic AI Engineer, you are passionate about experience innovation and ea...

Location

Colombia

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Experience as a full-stack or backend engineer building production systems
Strong foundation in software engineering fundamentals (APIs, data modeling, system design)
Familiarity with databases, data stores, and data modeling concepts
Hands-on experience working with LLMs (via OpenAI, Anthropic, or similar), including prompt design and evaluation
Experience integrating applications with enterprise data sources (APIs, databases, analytics platforms)
Comfort working in early-stage, ambiguous problem spaces where patterns are still emerging
Ability to communicate clearly with technical and non-technical stakeholders
Willingness to work on a Mac-based development environment
Experience using AI-assisted development tools (Cursor, Copilot, etc.) as part of daily workflow
Advanced English skills

Job Responsibility

Design and build agentic AI systems that facilitate conversational workflows for seller enablement
Develop a chat-based seller assistant that answers seller questions using enterprise data, provides insights on ordering, pricing, and customer behavior, and generates pre-visit one-pagers to guide sales conversations
Integrate large language models (e.g., Claude, ChatGPT) with internal data sources and APIs
Apply prompt engineering, context engineering, and agent orchestration techniques to improve reliability and usefulness
Build and evolve the platform using LangChain and LangGraph (initially in Python)
Design persistence and data access layers using Mongo or other data stores
Collaborate closely with product, analytics, and engineering partners to shape both technical direction and use cases
Serve as a champion for modern AI coding assistant tools (e.g., Cursor) within the team
Help define standards and best practices as this AI capability scales

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts
Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts

Fulltime

Senior Agentic AI Engineer

At Teradata, we're not just managing data; we're unleashing its full potential. ...

Location

India , Hyderabad; Pune

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

5+ years of product engineering experience in AI/ML, with strong software development fundamentals
Proficiency with LLM APIs (e.g., OpenAI, Claude, Gemini) and agent frameworks such as AutoGen, LangGraph, AgentBuilder, or CrewAI
Experience designing multi-step reasoning chains, prompt pipelines, or intelligent workflows
Familiarity with agent evaluation metrics: correctness, latency, failure modes
Passion for building production-grade systems that bring AI to life
Master’s or Ph.D. in Computer Science, AI, or a related field, or equivalent industry experience
Experience working with multimodal inputs, retrieval systems, or structured knowledge sources
Deep understanding of enterprise data workflows and scalable AI architectures
Prior exposure to MCP or similar orchestration/protocol systems

Job Responsibility

Design and implement autonomous AI agents for semantic search, text-to-SQL translation, and analytical task execution
Develop modular prompts, reasoning chains, and decision graphs tailored to complex enterprise use cases
Enhance agent performance through experimentation with LLMs, prompt tuning, and advanced reasoning workflows
Integrate agents with Teradata’s Model Context Protocol (MCP) to enable seamless interaction with model development pipelines
Build tools that allow agents to monitor training jobs, evaluate models, and interact with unstructured and structured data sources
Work on retrieval-augmented generation (RAG) pipelines and extend agents to downstream ML systems

What we offer

People-first culture
Flexible work model
Focus on well-being
Inclusive environment

Fulltime

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Senior LLM & Agentic AI Engineer

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