Senior AI Engineer I - Agentic AI Job at Amex (Bengaluru Urban)

Senior Lead Ai Engineer (Mlx, Agentic Ai, Gen Ai Platform Services)

Location

United States , San Francisco; New York; San Jose; Cambridge; McLean

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
At least 6 years of experience programming with Python, Go, Scala, or Java

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

AI Engineer I - Agentic AI

As an AI Engineer III – Agentic AI, you will be a hands-on builder contributing ...

Location

India , Bengaluru Urban; Chennai

Salary:

Not provided

Amex

Expiration Date

Until further notice

Requirements

1+ years of professional software engineering experience
Some hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems (professional or project-based)
Solid engineering fundamentals in at least one backend language (Python, Go, or TypeScript)
Familiarity with APIs, basic cloud concepts, and modern development practices
Interest in agentic AI systems, autonomy, and AI-assisted development workflows
Willingness to learn, take feedback, and grow technical ownership over time
Comfort working in collaborative, cross-functional teams
A strong customer mindset and curiosity about real-world problem solving

Job Responsibility

Contribute to the design and implementation of LLM-powered and agentic product features
Build and extend agentic AI workflows that reason over context, call tools, and perform actions under guidance from senior engineers
Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety
Contribute to shared AI infrastructure such as LLM services, orchestration components, and evaluation or monitoring tooling
Participate in operating AI systems in production, including monitoring, debugging, and improving reliability and performance
Collaborate closely with product and design partners, learning to translate customer needs into technical solutions

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 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 AI)

High-autonomy role focused on the deployment, maintenance, and evolutionary scal...

Location

Singapore , Singapore

Salary:

8000.00 - 9000.00 SGD / Month

Randstad

Expiration Date

July 27, 2026

Requirements

At least 5 years of experience in machine learning, system deployment, or semiconductor automation
Proven expertise in GenAI workflows, including prompt engineering, PEFT/LoRA fine-tuning, RAG, and multi-agent frameworks
Technical proficiency in Python and libraries such as PyTorch, TensorFlow, and OpenCV is required
Strong understanding of SQL, big data architectures, Git, Docker, and cloud platforms like AWS, Azure, or GCP

Job Responsibility

Lead the design, deployment, and integration of autonomous AI systems for multi-step reasoning and automated workflows within the fab ecosystem
Monitor production performance, manage retraining pipelines, and address data drift or anomalies
Fine-tune LLMs and computer vision frameworks using equipment metadata for failure triage, yield assistance, and hardware accuracy
Partner with IT to orchestrate scalable SQL/Big Data pipelines while ensuring strict data governance
Provide architectural guidance and mentorship on scaling and deploying robust AI/ML systems

Senior Java Engineer – Agentic AI Driven Development - Senior Vice President

The Applications Development Technology Senior Lead Analyst is a senior-level po...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Core Java - Strong understanding of Java (JDK 8+, preferably Java 11/17), including multithreading, collections, garbage collection, and JVM internals
Frameworks - Extensive experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Security)
Middleware - Proven experience in designing and developing RESTful APIs and microservices
Relational Databases - Strong proficiency in SQL and experience with Oracle databases, including schema design, query optimization, and stored procedures
NoSQL Databases - Experience with MongoDB, including data modeling, querying, and performance tuning
CI/CD & DevOps - Hands-on experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, GitHub Actions, Maven/Gradle, Docker, Kubernetes)
Version Control - Proficiency with Git and standard branching strategies (e.g., Gitflow)
Testing - Experience with unit testing frameworks (JUnit, Mockito) and integration testing
Web Technologies (Beneficial) - Familiarity with web services (SOAP/REST), XML, JSON
AI Tools & Methodologies - Demonstrable exposure and practical experience with AI development tools such as Devin, GitHub Copilot, Claude, Anti Gravity, and Codex

Job Responsibility

Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot
Architect and optimize database interactions with Oracle, SQL, and MongoDB, ensuring high performance and data integrity
Drive the adoption and continuous improvement of CI/CD pipelines to facilitate rapid and reliable software delivery
Collaborate with cross-functional teams, including product management, QA, and operations, to define requirements, design solutions, and deliver high-quality software
Mentor and provide technical guidance to junior and mid-level software engineers, fostering a culture of technical excellence and continuous learning
Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality
Participate in code reviews, ensuring adherence to coding standards, best practices, and architectural guidelines
Troubleshoot and resolve complex technical issues, ensuring the stability and performance of production systems
Contribute to the strategic planning and technical roadmap for our middleware platforms
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, and model development

What we offer

Discover the top benefits offered to our global workforce, designed to support your well-being, growth and work-life balance. Explore a few of the highlights that make working with us rewarding.

Fulltime

Senior Ai Engineer Agentic Systems

In this role you will build the agentic systems that power Teradata's next gener...

Location

United States , California

Salary:

143500.00 - 215200.00 USD / Year

Teradata

Expiration Date

Until further notice

Requirements

3–6 years of software engineering experience with at least 2 years building agentic AI systems in production — not just RAG pipelines or chatbots
Hands-on experience implementing agent skills, plugins, or tools that extend an agent harness (Claude Code, OpenCode, Codex, OpenClaw, LangGraph, or equivalent)
Proficiency in Python
Go experience is a strong advantage
Understanding of agent planning loops, tool-calling protocols, function calling APIs (OpenAI, Anthropic, or Google format), and prompt engineering for reliability

Job Responsibility

Build the agentic systems that power Teradata's next generation of AI-driven analytics — intelligent agents that reason over enterprise data, invoke Vantage capabilities as tools, and complete multi-step analytical tasks autonomously
Design and implement agent skills and plugins that extend the Teradata agent harness
Build evaluation frameworks to measure agent quality
Contribute to the reliability and performance of agent workflows running on Vantage

What we offer

Healthcare
Life and disability insurance plans
401(k)-retirement savings plan
Time-off programs

Fulltime

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

Select Country

Senior AI Engineer I - Agentic AI

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?