Staff Software Engineer, AI Agents

Role

We are looking for a Full Stack Engineer who can own the entire technical stack, design systems that scale, and ship products fast. You will work across frontend, backend, and AI systems, making key architectural decisions while building a product used by real users.

This role offers high ownership, where engineers move ideas to production quickly and take responsibility for both technical decisions and product impact.

What would you do?

• Build and own the end-to-end platform using React, Node.js microservices, Python AI agents, and AWS.
• Design and implement scalable system architecture, including caching, databases, and state management between AI and UI.
• Develop AI-powered backend services and orchestrate LLM workflows using modern frameworks.
• Build highly interactive front-end experiences using modern React and real-time communication tools.
• Define and maintain engineering best practices, including CI/CD pipelines, monorepo structures, and development workflows.
• Collaborate closely with users and product teams to identify problems and ship impactful solutions.
• Continuously simplify systems by removing unnecessary complexity and keeping architecture clean.

Who should apply?

• Engineers with 4+ years of experience building and shipping production-grade products.
• Strong understanding of system design, architecture, and scalable backend systems.
• Hands-on experience with Python (FastAPI, async systems) and LLM-based applications.
• Proficiency in JavaScript / TypeScript with Node.js and modern backend frameworks.
• Experience building modern frontend applications using React (React 18+).
• Familiarity with databases such as Redis, PostgreSQL, or MongoDB, and designing scalable APIs.
• Engineers comfortable working in fast-paced environments with high ownership and minimal process overhead.

Technical Skills

• Backend: Node.js, Express, Python, FastAPI
• Frontend: React (React 18+), interactive UI development
• AI/LLM Systems: LLM orchestration, multi-model integrations
• Databases: Redis, PostgreSQL, MongoDB
• Infrastructure: AWS, CI/CD pipelines, microservices architecture
• Real-time Systems: Socket.IO, Server-Sent Events (SSE)

Job Title : Principal Backend Engineer (AI-Driven)

Experience : 10+ Years

Location : Chandigarh

Tech Stack : PHP, Node.js, Laravel, MySQL, MongoDB

Additional Requirement : Hands-on experience with AI technologies, APIs, or ML integrations

Role Overview :

We're looking for a Principal Backend Engineer (AI-Driven) to design and lead scalable backend systems while driving AI adoption across products.

The role involves integrating AI-powered features, architecting intelligent systems, and mentoring engineering teams on modern backend and AI implementation.

Key Responsibilities :

• Design and lead backend architecture using PHP (Laravel/CodeIgniter) and Node.js
• Build scalable microservices / modular backend systems
• Develop APIs and backend workflows for AI-driven features
• Integrate AI APIs (OpenAI, LangChain or similar frameworks)
• Work with LLMs, embeddings, vector databases, and AI pipelines
• Ensure performance, scalability, and security of backend systems
• Mentor engineering teams and drive backend + AI best practices

Requirements :

• 10+ years of backend development experience
• Strong expertise in PHP / Node.js, MySQL, MongoDB
• Hands-on experience integrating AI/ML APIs or AI-powered features
• Strong system design and architecture skills
• Experience leading engineering teams

Good to Have :

• Prompt engineering or AI cost optimization
• Exposure to MLOps / ML pipelines

Job Title : Python Backend Engineer (with MLOps & LLMOps Experience)

Experience : 4 to 8 Years

Location : Gurgaon Sector - 43

Employment Type : Full-time

Job Summary :

We are looking for an experienced Python Backend Engineer with a strong background in FastAPI, Django, and hands-on exposure to MLOps and LLMOps practices.

The ideal candidate will be responsible for building scalable backend solutions, integrating AI/ML models into production environments, and implementing efficient pipelines for machine learning and large language model operations.

Mandatory Skills : Python, FastAPI, Django, MLOps, LLMOps, REST API development, Docker, Kubernetes, Cloud (AWS/Azure/GCP), CI/CD.

Key Responsibilities :

• Develop, optimize, and maintain backend services using Python (FastAPI, Django).
• Design and implement API endpoints for high-performance and secure data exchange.
• Collaborate with data science teams to deploy ML/LLM models into production using MLOps/LLMOps best practices.
• Build and manage CI/CD pipelines for ML models and ensure seamless integration with backend systems.
• Implement model monitoring, versioning, and retraining workflows for machine learning and large language models.
• Optimize backend performance for scalability and reliability in AI-driven applications.
• Work with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) for deployment and orchestration.
• Ensure best practices in code quality, testing, and security for all backend and model deployment workflows.

Required Skills & Qualifications :

• 4 to 8 years of experience as a Backend Engineer with strong expertise in Python.
• Proficient in FastAPI and Django frameworks for API and backend development.
• Hands-on experience with MLOps and LLMOps workflows (model deployment, monitoring, scaling).
• Familiarity with machine learning model lifecycle and integration into production systems.
• Strong knowledge of RESTful APIs, microservices architecture, and asynchronous programming.
• Experience with Docker, Kubernetes, and cloud environments (AWS, Azure, or GCP).
• Exposure to CI/CD pipelines and DevOps tools.
• Good understanding of Git, version control, and testing frameworks.

Nice to Have :

• Experience with LangChain, Hugging Face, or similar LLM frameworks.
• Knowledge of data pipelines, feature engineering, and ML frameworks (TensorFlow, PyTorch, etc.).
• Understanding of vector databases (Pinecone, Chroma, etc.).

Education :

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

🚀 We're Hiring — Backend Developer (3–5 Yrs Exp)

📍 Location: Coimbatore / Remote (India)

⏱ Notice: Immediate

🔧 What You'll Do:

• Build and maintain scalable REST APIs

• Work with Django/Flask on production-grade systems

• Manage databases — PostgreSQL, MySQL, MongoDB

• Implement caching (Redis) & queuing (RabbitMQ/Kafka)

• Deploy & manage services using Docker

• Work on AWS or GCP cloud infrastructure

• Collaborate via Git, CI/CD pipelines

✅ You Should Have:

• 3–5 years of hands-on Python backend experience

• Strong grasp of data structures & design patterns

• Comfort with Linux & version control workflows

• Good communication & team collaboration skills

⭐ Bonus Points:

• Experience with LLM integrations or RAG pipelines

• Familiarity with Vector DBs (Pinecone/ChromaDB)

• Prior startup or fast-paced environment experience

Interested? Drop your resume or refer someone who'd be a great fit! 💼

👉 Job Title: Senior Backend Developer

🌟 Experience: 5-7 Years

💡Location: Bangalore

👉 Notice Period :- Immediate Joiners

💡 Work Mode - 5 Days work from Office

( Candidate Serving notice period are preffered)

Role Summary

We are seeking a Senior Backend Developer with strong expertise in Python and FastAPI to build scalable, high-performance backend systems integrated with LLM technologies on Azure. The role involves designing distributed systems, optimizing data pipelines, and ensuring secure, enterprise-grade applications.

Key Responsibilities

• Develop backend services using Python & FastAPI (async, middleware)
• Build high-concurrency, scalable systems and microservices
• Work with Azure services and event-driven architectures
• Optimize MongoDB & Redis for performance
• Integrate LLM APIs (OpenAI, Gemini, Claude)
• Implement security (JWT, encryption, API management)
• 
  

Mandatory Skills (Top 3)

1. Strong Python backend development with FastAPI
2. Hands-on experience with Microsoft Azure cloud
3. Experience in building scalable distributed/microservices systems

Good to Have

• Docker, Kubernetes, CI/CD
• LLM frameworks (LangChain, vector DBs)
• Monitoring tools and real-time data processing

Your Craft:

● JavaScript/TypeScript & NodeJS flows through your fingers like a native language

● Next.js is your framework of choice for building full-stack magic

● Rust makes your heart sing when performance is non-negotiable

● Golang/Python feel like comfortable old friends (nice to have)

● MySQL/Postgres/Redis are tools you wield with intention

● AWS ecosystem is your playground, not your puzzle

● LLM/AI integration is something you've actually shipped, not just read about

About Blitzy

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into production-ready code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.

The Role

We're seeking an experienced POC Engineer to join our India HQ2 team. This critical role sits at the intersection of cutting-edge AI technology and enterprise customer success. You'll lead the technical design, development, and delivery of proof-of-concept implementations that demonstrate the transformative power of Blitzy's agentic software development platform to Fortune 500 clients. This role requires deep technical expertise, strong customer-facing skills, and the ability to rapidly prototype and iterate on complex AI-driven solutions.

What You'll Do

• Lead Technical Pilots and POCs: Design, architect, and implement end-to-end proof-of-concept solutions that showcase Blitzy's platform capabilities to enterprise customers
• Customer Collaboration: Work directly with Fortune 500 clients to understand their technical requirements, challenges, and success criteria for POC engagements
• Rapid Prototyping: Build functional demonstrations and prototypes that prove technical feasibility and business value, often under tight timelines
• AI/ML Integration: Leverage LLMs, agentic workflows, and multimodal AI capabilities to solve complex customer use cases
• Technical Architecture: Design scalable, production-grade architectures that can transition from POC to full implementation
• Performance Optimization: Conduct performance analysis, identify bottlenecks, and optimize solutions for speed, efficiency, and reliability
• Documentation & Knowledge Transfer: Create comprehensive technical documentation and effectively communicate architecture decisions to both technical and non-technical stakeholders
• Cross-functional Collaboration: Partner with Sales, Product, and Engineering teams to refine platform capabilities based on customer feedback
• Innovation Leadership: Stay at the forefront of AI/ML advances and identify opportunities to incorporate new techniques into POC solutions

What We're Looking For

Required Qualifications

• 10+ years of software engineering experience with proven track record in enterprise software development and production systems
• Deep expertise in AI/ML technologies, particularly with LLMs, agentic systems, and generative AI applications
• Strong background in building enterprise-grade solutions that have shipped to production
• Extensive experience with modern software architecture, including cloud-based platforms (AWS, GCP, or Azure)
• Proficiency in multiple programming languages (Python, TypeScript/JavaScript, Go, Java, or C++)
• Demonstrated experience leading technical teams and mentoring engineers
• Proven ability to translate complex technical concepts for diverse audiences
• Track record of working directly with enterprise customers in technical consulting or solutions engineering capacity
• Strong analytical and problem-solving skills with focus on performance optimization
• Excellent communication skills with ability to present to C-level executives

Preferred Qualifications

• Background in developing AI agentic workflow orchestrators or similar multi-agent systems
• Experience with GPU-based computing and optimization
• Experience with sequence-to-sequence models and deep neural network architectures
• M.S. or Ph.D. in Computer Science, Engineering, or related field
• Experience leading distributed teams across geographies
• Track record of innovation (patents, publications, or open-source contributions)
• Experience with Responsible AI practices and frameworks

Key Success Metrics

• Successfully deliver POCs that convert to paid customer engagements
• Achieve high customer satisfaction scores and build strong customer relationships
• Reduce time-to-value for POC implementations through reusable frameworks and components
• Contribute technical insights that improve core platform capabilities
• Build scalable POC processes and best practices for the India team

Our Culture

Who we are: Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.

How we work:

• We move Blitzy Fast: Time is both our company's and our clients' most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
• Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
• Passion for Invention: We're pushing the frontier of what's possible, requiring constant innovation and iteration.
• We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.

We believe in being 'everyday athletes'—taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for optimal mental performance. It makes for a happier and more productive team.

What We Offer

• Opportunity to shape Blitzy's expansion in India as a founding member of HQ2
• Work with cutting-edge AI technology and Fortune 500 enterprise clients
• Competitive compensation package including equity
• Collaborative, high-performance team environment
• Professional growth opportunities in a fast-scaling startup
• Chance to make significant impact on product direction through customer insights
• Culture that values innovation, technical excellence, and work-life balance

Backend Engineer III – Senior Python Developer (LLM & AI)

Location: Gurgaon, India

Positions: 1

Experience: 6 to 9 Years

Gurgaon Hybrid

About the Role

We are seeking an experienced Backend Engineer III / Senior Python Developer to join our AI engineering team and play a critical role in building scalable, secure, and high-performance backend platforms for LLM and AI-driven applications. You will work as a hands-on individual contributor while collaborating closely with Machine Learning Engineers, Data Scientists, Product Managers, and Cloud/DevOps teams to deliver innovative, production-grade AI solutions.

Key Responsibilities

• Design, develop, and maintain scalable backend systems and services using Python to support LLM and AI-based applications
• Build and maintain RESTful APIs and microservices that serve machine learning models and AI components
• Write clean, modular, efficient, and testable code following industry best practices and coding standards
• Participate actively in code reviews, ensuring high quality, security, and maintainability of the codebase
• Debug, profile, and optimize applications to improve performance, reliability, and scalability
• Identify and resolve performance bottlenecks in AI/ML pipelines and backend services
• Collaborate with ML engineers, data scientists, and product teams to translate business and technical requirements into robust backend solutions
• Mentor and support junior developers, promoting a culture of technical excellence and continuous learning
• Design and implement CI/CD pipelines and automate deployment workflows to ensure consistent and reliable releases
• Stay up to date with emerging trends in Python, cloud-native development, and LLM/AI engineering practices and apply them to improve systems and processes

Required Skills & Experience

• 6 to 9 years of strong hands-on experience in Python development
• Solid understanding of Python software design, architecture patterns, and testing best practices
• Proven experience working on AI, Machine Learning, or LLM-based projects
• Strong experience in building and consuming RESTful APIs and microservices architectures
• Hands-on experience with FastAPI, Flask, or similar model-serving frameworks
• Strong debugging, performance profiling, and optimization skills
• Experience with CI/CD tools and workflows (e.g., GitHub Actions, Azure DevOps, Jenkins, etc.)
• Working knowledge of Docker and Kubernetes is a strong plus
• Excellent analytical, problem-solving, and communication skills
• Ability to work independently in a fast-paced, evolving AI/ML environment while mentoring junior team members

Education & Certifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field
• AWS or other relevant cloud certifications are preferred but not mandatory

Why Join Us?

• Work on cutting-edge AI and LLM platforms
• Collaborate with top-tier engineering and data science teams
• Opportunity to influence system architecture and technical direction
• Competitive compensation and career growth opportunities

As a Python Engineer, you will play a critical role in building and scaling data pipelines, developing prompts for large language models (LLMs), and deploying them as efficient, scalable APIs. You will collaborate closely with data scientists, product managers, and other engineers to ensure seamless integration of data solutions and LLM functionalities. This role requires expertise in Python, API design, data engineering tools, and a strong understanding of LLMs and their applications.

bout the Role

We are seeking an experienced Python Data Engineer with a strong foundation in API and basic UI development. This role is essential for advancing our analytics capabilities for AI products, helping us gain deeper insights into product performance and driving data-backed improvements. If you have a background in AI/ML, familiarity with large language models (LLMs), and a solid grasp of Python libraries for AI, we’d like to connect!

Key Responsibilities

•   Develop Analytics Framework: Build a comprehensive analytics framework to evaluate and monitor AI product performance and business value.

•   Define KPIs with Stakeholders: Collaborate with key stakeholders to establish and measure KPIs that gauge AI product maturity and impact.

•   Data Analysis for Actionable Insights: Dive into complex data sets to identify patterns and provide actionable insights to support product improvements.

•   Data Collection & Processing: Lead data collection, cleaning, and processing to ensure high-quality, actionable data for analysis.

•   Clear Reporting of Findings: Present findings to stakeholders in a clear, concise manner, emphasizing actionable insights.

Required Skills

•   Technical Skills:

o   Proficiency in Python, including experience with key AI/ML libraries.

o   Basic knowledge of UI and API development.

o   Understanding of large language models (LLMs) and experience using them effectively.

•   Analytical & Communication Skills:

o   Strong problem-solving skills to address complex, ambiguous challenges.

o   Ability to translate data insights into understandable reports for non-technical stakeholders.

o   Knowledge of machine learning algorithms and frameworks to assess AI product effectiveness.

o   Experience in statistical methods to interpret data and build metrics frameworks.

o   Skilled in quantitative analysis to drive actionable insights.