Machine Learning Engineer – Generative AI

ThinkTrends

Herndon (VA)

Hybrid

USD 140,000 - 190,000

Full time

43 hours ago

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Benefits offered by this job

Competitive salary and benefits

Flexible hybrid work environment

Leadership opportunities

Job summary

ThinkTrends is an Enterprise AI company seeking a Machine Learning Engineer – Generative AI with 7+ years of experience to design, build, and deploy intelligent agents capable of reasoning, planning, and autonomous action in regulated environments.

You will work with LLMs, multi-agent systems, tool integration, and scalable architectures while collaborating with senior engineers in a fast-moving, security-conscious team.

Qualifications

7+ years in machine learning or software engineering with AI focus.
Bachelor's degree as listed in Education.
Proven experience building AI agents and LLM-enabled applications.

Responsibilities

Design, build, and deploy AI agents that reason and act autonomously.
Develop multi-agent systems for collaboration and coordination.
Create tool-using agents interacting with APIs, databases, and external systems.
Implement memory and context management for stateful agents.
Build agent orchestration pipelines and production deployment workflows.
Monitor performance, safety guardrails, and resource usage in production.
Collaborate with senior engineers and participate in code reviews.
Document agent architectures, deployment processes, and best practices.

Skills

Python

LLM integration

Core ML

APIs & integration

Git/GitHub workflows

SQL & vector DBs

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Tools

OpenAI API

Anthropic Claude

RESTful APIs

Docker

Kubernetes

LLM service integration

Job description

ThinkTrends is an Enterprise AI company building secure, intelligent automation solutions for regulated and enterprise environments. Our platform enables organizations to deploy generative and agentic AI capabilities with a focus on control, compliance, and transparency.

We work with customers across the public sector and life sciences industry to modernize data workflows, streamline document processing, and deliver AI-driven decision support at scale. Our team brings together deep technical expertise and domain understanding to solve high-impact problems in complex, high-stakes environments.

Role Description

ThinkTrends is seeking a Machine Learning Engineer – Generative AI with 7+ years of experience and passion for Agentic AI systems to join our growing team. In this role, you'll design, build, and deploy intelligent agents that can reason, plan, and take autonomous actions to solve complex problems. This is an excellent opportunity for engineers looking to work at the cutting edge of AI agent development while growing their skills in a supportive environment.

Key Responsibilities

Agentic AI Development

Design and implement AI agents using Large Language Models (LLMs)
Build multi-agent systems that can collaborate, communicate, and coordinate to achieve goals
Develop reasoning and planning capabilities for autonomous decision-making
Create tool-using agents that can interact with APIs, databases, and external systems
Implement memory systems and context management for stateful agent interactions
Build and maintain agent orchestration pipelines and workflows
Deploy agents to production environments with appropriate safety guardrails
Monitor agent performance, behavior, and resource utilization
Implement feedback loops for continuous agent improvement
Work closely with senior engineers to design scalable agent architectures
Participate in code reviews and contribute to best practices
Document agent behaviors, architectures, and deployment processes
Stay current with rapidly evolving agentic AI research and frameworks
Contribute ideas for new agent capabilities and use cases

Required Qualifications

Education & Experience

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
7+ years of professional experience in machine learning, software engineering, or related role
Demonstrated experience/interest in AI agents through projects, coursework, or professional work
Experience building applications with LLMs or conversational AI systems

Technical Skills

Programming: Strong proficiency in Python; comfortable with async programming
LLM Integration: Hands-on experience with OpenAI API, Anthropic Claude, or similar LLM APIs
Core ML: Understanding of machine learning fundamentals and model fine-tuning
APIs & Integration: Experience building and consuming RESTful APIs
Version Control: Proficient with Git and GitHub/GitLab workflows
Databases: Working knowledge of SQL and vector databases (Pinecone, Weaviate, ChromaDB)

Core Competencies

Understanding of prompt engineering and LLM optimization techniques
Familiarity with Retrieval-Augmented Generation (RAG) patterns
Basic knowledge of agent architectures (ReAct, Chain-of-Thought, Tree of Thoughts)
Problem-solving mindset with attention to detail
Strong communication skills and ability to work collaboratively
Eagerness to learn and adapt in a fast-moving field
Awareness of AI safety, ethics, and responsible AI practices

Preferred Qualifications

Experience with agent evaluation and benchmarking
Knowledge of reinforcement learning or RLHF concepts
Familiarity with function calling and tool use in LLMs
Experience with streaming responses and real-time agent interactions
Understanding of multi-modal agents (text, vision, audio)
Contributions to open-source agent projects or frameworks
Experience with cloud platforms (AWS, GCP, Azure)
Knowledge of containerization (Docker) and orchestration (Kubernetes)
Familiarity with observability tools for LLM applications (LangSmith, Weights & Biases)

Technologies You'll Work With