Applied AI / LLM Engineer (Python) Job at Mad Devs

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...

Location

United States , Redwood City; San Francisco

Salary:

172000.00 - 300000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow)
Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement
Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Ability to work in a fast-paced environment and balance priorities across multiple projects at once

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role
Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI
Annual travel up to 25%

What we offer

equity in the form of employee stock options

Fulltime

Senior AI Engineer (AI Agents & Applied LLMs)

We are looking for a Senior AI Engineer to design, build, and scale intelligent ...

Location

India , Bengaluru

Salary:

Not provided

InfoGrowth

Expiration Date

Until further notice

Requirements

5+ years of experience in software engineering, machine learning, or AI-related roles
Strong experience with Python (required)
familiarity with JavaScript/TypeScript is a plus
Hands-on experience with LLMs, prompt engineering, and AI frameworks (LangChain, LlamaIndex, etc.)
Experience building production-grade APIs and services
Knowledge of vector databases (Pinecone, FAISS, Weaviate, etc.)
Solid understanding of data structures, algorithms, and system design
Experience deploying AI systems on cloud platforms (AWS, GCP, or Azure)

Job Responsibility

Design and develop AI agents capable of reasoning, planning, and executing tasks autonomously
Build and deploy LLM-powered applications using models such as GPT, Claude, or open-source LLMs
Integrate AI systems with APIs, databases, tools, and third-party services
Optimize prompts, workflows, and agent architectures for accuracy, performance, and cost
Lead end-to-end AI projects from concept to production
Collaborate closely with product managers, designers, and backend teams
Establish best practices for AI safety, evaluation, monitoring, and governance
Mentor junior engineers and conduct technical reviews

Fulltime

Applied AI Engineer II

Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusi...

Location

United States , Redmond

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 2+ years experience in low-code application development, engineering product/technical program management, data analysis, or product development OR equivalent experience
Bachelor's Degree AND 5+ years experience in low-code application development, engineering product/technical program management, data analysis, or product development OR equivalent experience
1+ year(s) of experience using low-code/no-code platforms (e.g., Dataverse, Power Applications)
1+ year(s) of experience managing and configuring artificial intelligence solutions (e.g., chatbots)
1+ year(s) of experience with programming/coding
Familiarity with Azure services (Azure OpenAI, Azure AI Foundry, Azure Functions, Cosmos DB, or similar cloud-native technologies)
Experience with CI/CD pipelines, automated testing, and production observability
Understanding of data structures, algorithms, and system design fundamentals

Job Responsibility

Translate product specifications into AI service architectures — decompose business intent into agent workflows, data source integrations, and scalable service designs
Build agentic AI workflows using Azure AI Foundry Agent Service and Microsoft Agent Framework, including multi-agent coordination, tool integrations, and agent lifecycle management
Develop and iterate on LLM-based solutions including prompt engineering, model selection, cost/token optimization, and RAG pipeline design
Build evaluation systems including rubrics, golden datasets, and judge agents to validate agent correctness and safety before production deployment
Write production-quality C# and Python with test-driven development, ensuring services meet reliability, performance, and security standards
Deploy services using CI/CD pipelines, feature flags, and staged rollouts with full production observability (tracing, logging, metrics)
Implement secure service patterns including RBAC, Managed Identities, and secrets management
Integrate agents with Azure data sources and cloud-native services to ground agent responses in real-time signals
Apply Responsible AI practices across all agent development, ensuring outputs are safe, fair, and compliant
Execute reliably within sprint and co-development commitments across ACES and partner engineering teams

Fulltime

Sr. Software Engineer - Applied AI

GEICO is seeking an experienced Sr. Software Engineer to join our Unified Commun...

Location

United States , Palo Alto

Salary:

80000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

5+ years of professional software engineering or applied machine learning experience
1+ years working with Generative AI or LLM-based systems in production
Strong experience with Python and modern AI frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs
Demonstrated experience designing, building, and operating production AI systems, including agentic workflows and intelligent automation features
Proven track record building scalable, resilient, secure, and maintainable systems that run reliably in production
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration
Ability to work deeply with engineers, product managers, and domain experts to co-create solutions
Experience mentoring engineers and helping others grow in AI, LLM, and agent-based system design
History of delivering measurable business outcomes with AI solutions
Strong competency in distributed systems, service design, performance optimization, and reliability engineering

Job Responsibility

Identify AI opportunities: Evaluate and prioritize opportunities to automate business processes using AI, intelligent workflows, and agent-based systems
Design and ship applied AI solutions: Architect, build, and deploy AI solutions for high-value workflows including automation, document intelligence, decision support, and intelligent assistants
Build agentic workflows: Design and implement AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic to automate complex processes at scale
Own production systems: Develop services that meet high standards for scalability, resilience, performance, security, and availability
Leverage knowledge graphs: Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows
Partner across functions: Collaborate with product, engineering, operations, and analytics partners to co-create scalable AI solutions and translate business needs into robust technical designs
Mentor and upskill others: Coach engineers and scientists in AI, LLMs, and agentic workflow design through pairing, reviews, and architectural guidance
Drive innovation: Explore new models, frameworks, and reasoning techniques and apply them thoughtfully to real-world challenges
Influence architecture: Provide technical guidance on architecture, experimentation, and deployment within and across teams
Experiment and evaluate rigorously: Run end-to-end experimentation, including hypothesis definition, measurement, validation, and iterative improvement in production environments

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Applied AI Engineer - MCP

We are hiring a founding group of engineers to kickstart this mission. As an AI ...

Location

India , Chennai

Salary:

Not provided

Appian Corporation

Expiration Date

Until further notice

Requirements

AI Infrastructure Experience: Professional experience building and deploying production-grade GenAI systems on GCP Vertex AI or AWS Bedrock including LLM APIs, agent frameworks, and RAG pipelines
Python Mastery: Deep proficiency in Python and common AI/ML libraries (e.g., LangChain, LlamaIndex, OpenAI SDK, Google Cloud AI SDK)
Agentic Systems: Hands-on experience building multi-step, tool-calling AI agents that operate reliably in production including tool schema design, structured outputs, and failure handling
MCP or Tool Protocol Experience: Familiarity with Model Context Protocol (MCP) or equivalent patterns for exposing enterprise resources to AI systems as callable, permissioned tools
Vector & Retrieval Systems: Experience with vector databases (Pinecone, pgvector, or similar) and embedding-based retrieval at scale
Technical Foundation: B.S. in Computer Science, Engineering, or a related technical field
The Pioneer Mindset: A self-starter who is excited to be part of a "first-of-its-kind" team and thrives in environments where you are building the playbook

Job Responsibility

Build the AI Platform: Design, deploy, and scale GenAI infrastructure on GCP Vertex AI (preferred) or AWS Bedrock
Build & Operate MCP Servers: Develop and maintain Model Context Protocol (MCP) servers that expose enterprise systems (databases, APIs, internal tools) as structured, AI-consumable capabilities
Design the Tool Layer: Build the tool registry and invocation framework that allows agents to interact with internal systems safely and reliably including schema design, access controls, and error handling
Engineer Agent-to-Agent Infrastructure: Architect the communication and coordination layer that allows specialized agents to delegate tasks, share context, and compose into larger autonomous workflows
Own the Retrieval Layer: Architect and operate RAG systems, including vector stores, embedding pipelines, chunking strategies, and retrieval evaluation frameworks
Establish AI Reliability: Instrument AI systems with logging, tracing, latency monitoring, and evaluation hooks so agents can be trusted, debugged, and improved in production

What we offer

health coverage
Employee Assistance Program (EAP) with free mental health support
life and disability insurance
Employee Stock Purchase Program (ESPP)
retirement/pension plan
wellness dollars
tuition reimbursement
family-forming benefits

Fulltime

Senior Applied AI Engineer

As an Senior Applied AI Engineer for CXA, you will play a pivotal role in advanc...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field, OR Master’s degree OR PHD AND 1+ years of experience working with machine learning libraries to solve real world AI/ML problems
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Strong 7+ software engineering skills, including hands‑on development experience in C# and Python for building scalable, high‑performance, and production‑ready systems
Experience in working with Generative AI models and ML stacks
Experience across the product lifecycle from ideation to shipping

Job Responsibility

Build collaborative relationships with product and business groups to deliver AI-driven impact
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques
Fine-tune foundation models using domain-specific datasets
Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis
Apply strong software engineering skills in languages such as C# and Python to design, develop, and optimize scalable, reliable, and maintainable AI‑driven systems
Develop LLM prompts, agents, and query execution workflows, often with tight latency constraints
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps
Contribute to papers, patents, and conference presentations
Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs
Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts

Fulltime

Senior Applied AI Engineer, Image Generation

We’re hiring a Senior Applied AI Engineer, Image Generation to join a fast‑movin...

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 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.
PhD in engineering, applied math, statistics, or related analytical field.
2+ years shipping production-level code, models, or data analysis.
1+ years using AI-assisted coding and analysis techniques.
Solid grasp of deep learning: loss functions, optimization, regularization, training stability
Experience deploying ML models at scale (inference optimization, quantization, distillation)
Familiarity with image preprocessing pipelines, data augmentation, and dataset curation
Experience working on small teams and mid-stage startup environments.
Experience working on AI products.

Job Responsibility

Model Development & Training
Train, fine-tune, and evaluate image generation models (diffusion, GAN, transformer-based)
Implement and adapt techniques from research papers into working production systems
Design and run experiments to improve image quality, diversity, and controllability
Curate, clean, and manage large-scale image-text training datasets
Evaluation, Hillclimbing & Quality Systems
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.
LLM Tooling & Internal Infrastructure

Fulltime

Staff Engineer-Applied AI

At Barclays, we don’t just adapt to the future, we create it. As a Staff Enginee...

Location

India , Bengaluru

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

A Bachelor’s degree (or above) in computer science, engineering, mathematics, or a related discipline
Experience in developing software applications for scale on cloud(AWS or Azure or GCP)
Fluent in Python or Java or GoLang programming language and frameworks
Hands-on experience in GenAI and Agentic AI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK etc.
Familiarity on working with MCP and A2A protocols
Solid understanding of working with LLM Models, writing prompts efficiently that provides accurate context for LLM Agents
Hands-on experience in developing and deploying Agentic AI solutions using cloud native services like AWS Bedrock or Azure AI Foundry or GCP Vertex AI
Strong understanding of AI implementation in software development and legacy code transformation
Experience in developing APIs and integrating LLM models into software applications
Ability to work on system design from ideation through completion with limited supervision

Job Responsibility

Lead the development of GenAI & Agentic AI systems & solutions to build intelligent conversational AI and workflow automation for specific business domains
Design and develop Full-Stack Multi Agentic AI systems using Agentic AI frameworks, LLMs and technologies, build function tools and integrate them with Back-End systems using REST-API, MCP or A2A protocols
Design, develop and Expose Agentic AI back-end, wrap existing back-end systems with MCP Servers to other agentic front-end and agentic back-end systems
Apply context engineering techniques such as context caching, context compression etc... to improve model’s (LLM) performance and response times
Implement guardrails & policy enforcement for safety and security risks that are required to duly comply with the organization’s data privacy and security standards
Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization
Communicate effectively with both technical and non-technical stakeholders, including senior leadership
Develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization
Analyze and interpret data to evaluate model performance and identify areas of improvement
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution
Health and wellness access to wellness rooms, gyms and mental health support
Modern workspaces, collaborative areas, and state-of-the-art meeting rooms
Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations

Fulltime

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Applied AI / LLM Engineer (Python)

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