Sr. AI/ML Engineer

Akaasa Technologies; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Akaasa Technologies in Austin, TX is seeking a Sr. AI/ML Engineer to build an AI-powered developer platform with agentic workflows.

You will design and implement backend services that orchestrate multi-agent tasks and integrate LLMs into internal tools. Responsibilities include delivering scalable backend architectures, enabling agentic AI with RAG, and creating frameworks for tool calls to enterprise APIs.

Qualifications

• 4+ years of backend and AI development in Python/TypeScript.
• Experience with LangGraph, AutoGen, or CrewAI.
• Expertise in agentic loops, RAG, prompts, and tool calling.
• Knowledge of MLOps/LLMOps and platform engineering preferred.

Responsibilities

• Backend services and orchestration for multi-agent workflows.
• Agentic AI & RAG: focus on intelligent agents and reasoning.
• Develop frameworks for agents to interact with APIs and enterprise services.
• System reliability: evaluate agent reliability and task completion in production.

Skills

Python

TypeScript

Agentic AI

RAG

LangGraph

AutoGen

CrewAI

MLOps

LLMOps

Tools

Tool calling

Job description

Title: Sr. AI/ML Engineer

Location: Austin, TX (Onsite) Need Local/Within 100 Miles

Duration: 6-12+ Months

MOI: Skype

Need LinkedIn

Ex- Apple is preferred.. Look for people from product-based companies / startup / [Paypal / Netflix / Meta / AWS ...]

No candidates from companies like Wells Fargo / CVS/ Bank/ Finance/Medical/Telecom

Skills: AI & Data Platforms- Python, Typescript, Agentic AI & RAG, LangGraph, AutoGen, or Crew AI, MLOps, LLMOps

Role Summary:
The Developer Experience Platform team is building an AI-powered platform to transform software development through agentic workflows, integrating LLMs into internal developer tools.

Key Responsibilities:

• Backend Engineering: Develop backend services and orchestration systems for multi-agent workflows.
• Agentic AI & RAG: Build intelligent agents focusing on RAG, agentic loops, and multi-step reasoning.
• Tool Calling: Develop frameworks for agents to interact with APIs and enterprise services.
• System Reliability: Evaluate agent reliability and task completion in production.

Key Qualifications:

• Backend & AI: Strong Python and TypeScript backend development experience (4+ years).
• Agent Frameworks: Experience with LangGraph, AutoGen, or CrewAI.
• LLM Harnessing: Expertise in agentic loops, RAG, prompt engineering, and tool calling.
• Preferred: Knowledge of MLOps, LLMOps, and platform engineering.