Senior AI Engineer (AI Agents & Applied LLMs) Job at InfoGrowth (Bengaluru)

Senior Applied AI Engineer

We are on a mission to ensure everyone has access to medical expertise, no matte...

Location

Denmark , København

Salary:

Not provided

Life Science Talent

Expiration Date

Until further notice

Requirements

Strong programming skills in Python and the ability to contribute to production-grade codebases
Hands-on experience in LLMs, including at least some of the following: Training, finetuning, or post-training transformer-based models
Building or operating LLM inference services in production, including performance work
Experience with embeddings, vector databases, and semantic search
Practical experience implementing RAG architectures
Designing robust evaluations for agent workflows and generative systems, including metrics, error analysis, and human evaluation methods
Experience building production-graded ML systems that can be deployed and operated, including pipelines, CI and CD practices, and monitoring
Strong product mindset with the ability to translate ideas into working systems
Clear communication and collaboration skills across research, engineering, and product
A Master’s degree in computer science, engineering, mathematics, statistics, physics, or a related field, or equivalent professional experience

Job Responsibility

Design and build LLM-powered product features used in production
Develop agentic workflows and frameworks that coordinate multiple AI components
Implement RAG (Retrieval-Augmented Generation) architectures using embeddings and vector search
Build systems for prompting, context engineering, and tool usage
Develop evaluation frameworks to measure LLM and agent performance
Work closely with product and platform teams to turn AI capabilities into reliable, scalable product features
Continuously improve system reliability, latency, and cost efficiency of AI pipelines

What we offer

Equipment provided by Corti

Fulltime

Senior Applied AI Engineer

Microsoft is seeking a Senior Applied AI Engineer to join a pioneering team focu...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
8+ years of professional software development experience with at least one of the following: C#, C++, or Java
8+ years of professional experience building cloud applications, preferably full stack
3+ years of experience with GenAI, LLMs, or agentic systems
Experience designing and implementing enterprise-scale services
Experience delivering Dynamics 365 and/or Power Platform solutions is desirable
Experience in agentic AI development and leveraging AI tools for development
Verbal, written, and cross-team collaboration skills

Job Responsibility

Design, build, and ship AI-powered software systems leveraging generative AI, LLMs, and agentic reasoning frameworks
Develop and integrate autonomous AI agents capable of task decomposition, multi-step planning, memory, tool usage, and dynamic decision-making across enterprise workflows
Apply state-of-the-art techniques including foundation models, prompt engineering, retrieval-augmented generation (RAG), multi-agent architectures, and classical machine learning where appropriate
Fine-tune and adapt foundation models using domain-specific data, and evaluate model behavior across relevance, quality, hallucination, bias, latency, and cost
Build rapid prototypes and translate them into production-grade systems, contributing to deployment, debugging, monitoring, and operational excellence
Design and implement evaluation frameworks and automated evaluators, using offline experiments, shadow testing, online experimentation, and telemetry to measure impact and guide iteration
Partner closely with product managers, researchers, and engineers to bring agentic capabilities into Microsoft’s business and productivity platforms
Write high-quality, well-documented, and maintainable code, along with clear technical design specifications
Mentor engineers and contribute to raising the overall engineering and applied AI bar across the team
Apply Responsible AI principles throughout the development lifecycle, proactively identifying and mitigating risks related to fairness, bias, privacy, security, and misuse

Fulltime

Senior Applied AI Engineer

We’re hiring a Senior Applied AI Engineer to join a fast‑moving, high‑ownership ...

Location

United States , Mountain View

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Master’s Degree AND 3+ years of experience in engineering, problem solving, model building, evaluation, data analysis OR equivalent experience
2+ years shipping production-level code, models, or data analysis
1+ years using AI-assisted coding and analysis techniques
Experience working on small teams and mid-stage startup environments
Experience working on AI products
PhD in engineering, applied math, statistics, or related analytical field
4+ years shipping production-level code, models, or data analysis
Deep experience building from zero-to-one
Hands on work hillclimbing AI evaluations

Job Responsibility

Design and ship LLM‑powered assistant features, including conversational flows, agentic behaviors, retrieval pipelines, and multimodal interactions
Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency
Prototype new capabilities rapidly and iterate based on user signals and evaluation data
Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality
Run hillclimbing loops across prompts, models, and tool‑use strategies to continuously improve assistant performance
Analyze failure modes, design mitigations, and drive systematic improvements across the stack
Develop internal tools for prompt experimentation, model comparison telemetry and debugging automated eval pipelines
Create reusable frameworks that accelerate the entire AI org’s ability to ship high‑quality assistant features
Integrate LLMs with product surfaces, APIs, and backend systems
Build lightweight ML components (ranking, classification, summarization, personalization) that enhance assistant intelligence

Fulltime

Senior Software Engineer (Applied AI)

As a Senior Software Engineer (Applied AI), you will play a critical hands-on ro...

Location

United States , Seattle; New York City; Boston

Salary:

130000.00 - 200000.00 USD / Year

Pearl Health

Expiration Date

Until further notice

Requirements

5-8+ years of professional experience in software engineering, with a strong foundation in service-oriented architectures and distributed systems
Hands-on experience building and productionizing Applied AI/LLM features, including working with RAG architectures, vector databases, embedding models, and/or Agentic workflows
Experience with observability and evaluation practices for production LLM systems (prompt tracking, quality metrics, cost monitoring)
Strong proficiency in Python, relational databases, and a major cloud platform (AWS preferred)
A deep understanding of modern service design principles, including RESTful and event-driven architectures
Proven experience designing, building, and optimizing data-intensive applications
A demonstrated history of mentoring engineers and driving technical best practices within a team
A strong background in performance optimization, reliability engineering, and security best practices

Job Responsibility

Design, build, and own production AI features powered by LLMs, including RAG architectures (chunking strategies, semantic search, vector databases) and Agentic workflows
Develop high-performance data pipelines, APIs, and microservices that process healthcare data at scale and securely integrate LLM outputs into user-facing experiences
Execute Proof-of-Concepts (POCs) and technical evaluations of new AI technologies to validate product viability and scalability
Build responsive web applications using modern frontend frameworks to deliver intuitive, user-facing intelligence and analytic features
Ensure observability, monitoring, and operational excellence for AI-powered services, championing security and regulatory compliance (HIPAA, SOC2)
Drive architectural decisions and system optimizations for AI features in close collaboration with product and engineering leadership
Own technical projects from discovery to delivery with autonomy, ensuring solutions align with business needs and long-term scalability
Mentor and upskill fellow engineers on Applied AI best practices, fostering a strong culture of technical excellence and collaborative growth
Contribute to the team's understanding of LLM capabilities, limitations, and best practices within the healthcare domain
Participate in thorough design and code reviews, raising the bar for technical quality across the team

What we offer

discretionary performance bonus
equity options
competitive benefits package

Fulltime

Senior Software Engineer Applied Gen AI Engineering

At Citi, we are pioneering the future of enterprise operations through innovativ...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years of professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise-grade solutions in commercial production environments, not just proofs-of-concept
Expert-level proficiency in Python is a must-have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services
Extensive hands-on experience with Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK)
Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift
Demonstrated ability to architect, develop, and deploy highly performant, large-scale AI/ML systems into production environments
Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems
Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases

Job Responsibility

Architect & Build Production Systems
Pioneer Automation with Agents
Master Containerized Deployments
Drive Technical Direction & Ownership
Champion Engineering Excellence
Innovate & Research
Mentor & Collaborate
Iterate & Deliver
Ensure Responsible AI

What we offer

Unprecedented Impact & Visibility
Cutting-Edge Technology
Growth & Development
Collaborative Environment
Flexible Work Environment
Global Scale

Fulltime

Senior Software Engineer (AI Voice Agents)

Working closely with the Engineering Manager and Product Lead, you will be a Mid...

Location

Australia , Sydney

Salary:

Not provided

Heidi

Expiration Date

Until further notice

Requirements

Mastery of Fullstack fundamentals: proficient in Python and modern frontend frameworks (React/TypeScript), capable of owning a feature from database schema to UI interaction
Applied AI & Voice fluency: working knowledge of LLM integration (RAG, prompt engineering) and audio technologies (ASR, speech processing)
Pragmatic problem solving: balance engineering purity with the need for speed
Cloud fluency (AWS or GCP): can spin up own infrastructure (containers, serverless functions) and manage CI/CD pipelines
Rigorous testing in production: implement observability and feedback loops to monitor AI features in the wild

Job Responsibility

Build end-to-end AI features: Architect and ship fullstack solutions (from React frontends to Python backend services) that leverage voice AI and LLMs to automate clinical workflows
Operationalize Voice AI: Implement and fine-tune audio processing pipelines, ensuring Automatic Speech Recognition (ASR) and LLM agents perform accurately in diverse medical environments
Bridge the gap between model and product: Translate complex feedback from clinicians into technical solutions, rapidly prototyping and deploying improvements to model behavior, prompting strategies, and audio handling
Optimise for real-time interaction: Tune fullstack performance to handle real-time audio streaming and token generation, minimizing latency
Partner with implementation and clinical teams: Shorten the feedback loop by shipping critical integrations and feature requests from concept to production in days, not quarters

What we offer

Flexible hybrid working environment, with 3 days in the office
Additional paid day off for your birthday and wellness days
Special corporate rates at Anytime Fitness in Melbourne, Sydney tbc
A generous personal development budget of $500 per annum
Learn from some of the best engineers and creatives, joining a diverse team
Become an owner, with shares (equity) in the company

Fulltime

Senior Python Engineer (Data Engineering & AI Agents)

Our client is a leading global investment management company headquartered in Lo...

Location

Poland; Spain; United Kingdom

Salary:

Not provided

Intellias

Expiration Date

Until further notice

Requirements

6+ years building production software in Python, with strong engineering fundamentals (testing, performance, clean design)
Solid data engineering: SQL, columnar formats (e.g. Parquet), pipeline design, and handling datasets large enough that naive approaches don't scale
Hands-on experience with at least one analytical or query engine (e.g. DuckDB, Trino, Spark, ClickHouse)
Real experience building LLM / agent applications: retrieval (RAG), vector databases, and tool / function calling
A working understanding of data governance: cataloguing, metadata, lineage, and access control (RBAC / ABAC)
An instinct for data quality and trustworthy 'golden' sources

Job Responsibility

Build production-grade Python services and data pipelines over large data stores (columnar / time-series and relational), and the queries that join across them
Select and implement the right query or analytical engine for each workload, rather than defaulting to one
Build catalogue, metadata, lineage and semantic layers that make data discoverable and consistently understood across teams
Implement access control that travels with the data: fusing sensitivity and licensing scope, enforced at the point of use, including for AI agents
Build agent-facing data access: retrieval (RAG), vector search, and APIs / MCP servers, with permissions applied before context reaches the model
Apply LLMs pragmatically to data work (metadata generation, classification, entity resolution) with humans in the loop and evaluate the quality of what the agents produce
Help keep data trustworthy: establish golden sources, deduplication and data-quality checks at the source
Contribute to discovery and solutioning: assessing current state, weighing build-vs-adopt, and shaping pragmatic, costed plans

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

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Senior AI Engineer (AI Agents & Applied LLMs)

Job Description

Job Responsibility

Requirements

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