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    Home/Jobs/Lead AI/ML Software Engineer

    Lead AI/ML Software Engineer

    Raft

    McLean / Colorado Springs / Tampa / Oahu
    6+ years
    Today
    ₹150–192 LPA
    Full-time
    Remote

    Skills Required

    LLM
    Agentic AI
    Gen AI
    Machine Learning
    Deep Learning
    NLP
    Distributed Systems
    Kubernetes
    Cloud-native platform architecture
    Data-intensive application development
    Apache Kafka
    Apache Flink
    JavaScript
    Python
    React

    Description

    Raft is seeking a Lead AI/ML Software Engineer to help shape the next phase of their AI Mission System, [R]AIMS. The ideal candidate will be a technical builder-leader with deep experience designing and scaling complex production systems. This is a remote position within the U.S., with a preference for candidates located near Raft hubs.

    Company: Raft

    Role: Lead AI/ML Software Engineer

    Location: Remote within the U.S.; preference for candidates located near a Raft hub (McLean, VA; Colorado Springs, CO; Tacoma, WA; Oahu, HI, Tampa, FL; Boston, MA)

    Experience:

    • 6+ years of hands-on experience building and shipping production software systems across the full stack (frontend, backend, infrastructure, and ML)
    • Demonstrated technical leadership over large, cross-functional engineering initiatives with clear ownership and accountability for outcomes
    • Experience building data-intensive or AI-enabled production systems with real operational users and real performance constraints

    Key Skills:

    • Kubernetes
    • cloud-native platform architecture
    • distributed systems
    • AI/ML platform engineering
    • data-intensive application development
    • machine learning models
    • service decomposition
    • inter-service communication patterns
    • fault tolerance
    • observability

    Qualification:

    • US citizenship required
    • Ability to obtain and maintain a Top Secret/SCI clearance
    • Ability to obtain Security+ certification within the first 90 days of employment

    Role Focus:

    • Drive architectural decisions across the [R]AIMS platform
    • Lead major technical epics from conception through delivery
    • Simplify and rationalize distributed system architecture as the platform scales
    • Optimize platform performance across both edge and cloud deployment targets
    • Establish strong engineering foundations and reusable technical patterns
    • Mentor engineers at multiple levels

    Additional responsibilities:

    • Engage directly with customers and program stakeholders at operationally demanding environments across the Department of Defense

    Nice to have:

    • Experience building AI/ML infrastructure or agentic systems
    • Experience with streaming and event-driven architectures
    • Experience with platform engineering and internal developer tooling
    • Experience with real-time inference or operational AI systems in latency-sensitive environments
    • Prior work in defense, national security, or classified program environments
    • Active clearance

    Other:

    • Salary Range: $180,000.00 - $230,000.00
    • Fully covered healthcare, dental, and vision coverage
    • 401(k) and company match
    • Take as you need PTO + 11 paid holidays
    • Education & training benefits
    • Generous Referral Bonuses
    • Up to 25% travel

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

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    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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