Develop custom cognitive applications, classification workflows, and agentic orchestration frameworks utilizing modern foundation models.

AI Engineer at Fospe

About the Company

Fospe is an innovative technology company that specializes in building intelligent systems and cognitive applications for enterprise clients. With a focus on leveraging modern foundation models, Fospe delivers scalable AI solutions that drive business transformation. The company fosters a culture of experimentation and technical excellence, offering engineers the opportunity to work on challenging problems at the intersection of machine learning and production software.

Role Overview

We are seeking an experienced AI Engineer to design and develop custom cognitive systems, intelligent classification pipelines, and autonomous agent workflows. In this fully remote position, you will bridge the gap between theoretical machine learning and mission-critical production software, deploying intelligent features that scale to thousands of enterprise users. You will work with state-of-the-art models and frameworks to build reliable, high-performance AI services.

Key Responsibilities

• Develop production AI microservices integrating state-of-the-art vision, NLP, and reasoning models.
• Build autonomous workflow agents capable of complex tool invocation, decision trees, and structured data outputs.
• Create automated data ingestion, cleaning, and feature extraction pipelines for continuous model evaluation.
• Monitor and optimize model inference latency, API throughput, and token cost economics across high-volume production endpoints.
• Collaborate with product designers and full-stack engineers to deliver intuitive, AI-native user experiences.
• Design and implement REST/gRPC APIs for AI services.
• Manage cloud infrastructure (AWS/GCP/Azure) for scalable deployments.
• Maintain CI/CD pipelines and containerized environments using Docker.

Tech Stack

• Languages: Python, TypeScript/Node.js, Go
• Frameworks: FastAPI, LangChain, LangGraph, CrewAI, Semantic Kernel
• Databases: PostgreSQL, Redis, SQL/NoSQL
• Cloud & DevOps: AWS, GCP, Azure, Docker, CI/CD
• AI Models: OpenAI, Anthropic, Gemini, Groq, Ollama
• Other: Tailwind CSS (for frontend integration), REST, gRPC

Eligibility & Qualifications

Refer to the Requirements section for mandatory and preferred qualifications.

Our Hiring Process

1. Profile Evaluation - Review of experience, technical portfolio, and sample projects.
2. Technical Alignment - 45-minute discussion on agent workflows, API plumbing, and system design.
3. Practical Challenge - Take-home or live technical exercise designing an AI microservice.
4. Offer & Onboarding - Final conversation with engineering management and welcome to the team.

Summary

• Department: Software
• Location: Bangalore, India (Remote)
• Employment: Full-time
• Date Posted: 2026-07-14

Mandatory Requirements

• Degree in Computer Science, Software Engineering, or equivalent practical industry experience.
• 2+ years of professional software engineering experience building and deploying backend services or ML systems.
• Proficiency in Python and TypeScript/Node.js or Go.
• Solid working knowledge of foundation model APIs (OpenAI, Anthropic, Gemini, Groq, Ollama) and embeddings.
• Experience with REST/gRPC API design, microservices architecture, and SQL/NoSQL databases.
• Familiarity with cloud platforms (AWS, GCP, Azure), CI/CD pipelines, and containerized deployments.

Preferred / Advantageous Qualifications

• Experience with agentic frameworks such as LangGraph, CrewAI, or Semantic Kernel.
• Knowledge of prompt caching, semantic routing, and function calling optimizations.
• Prior experience in B2B SaaS or enterprise tech startups.

Flexible remote work environment, competitive compensation, health insurance, professional development opportunities, and the chance to work on cutting-edge AI technologies.