AuxoAI is hiring a Senior Applied Scientist to design and deploy production-grade AI agents capable of structured reasoning, planning, and decision-making.
This role focuses on building intelligent agent systems that combine LLM-based reasoning with classical planning, search algorithms, and optimization techniques. The ideal candidate will develop robust agent architectures that operate reliably in real-world environments with constraints around latency, cost, uncertainty, and limited context windows.
You will work on advanced AI systems that power autonomous workflows, decision engines, and tool-driven agent ecosystems.
You will work on problems where existing architectures may not be sufficient, and will be expected to experiment with new approaches that combine machine learning, graph algorithms, and classical AI techniques to build reliable, production-grade systems.
Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)
Responsibilities:
- Design and architect modular AI agent frameworks incorporating skill decomposition, tool orchestration, and persistent state tracking.
- Implement planning and search algorithms such as Monte Carlo Tree Search (MCTS), beam search, A search, heuristic search, and graph-based planning approaches* to support complex decision-making tasks.
- Develop decision-making loops that balance trade-offs between exploration vs. exploitation, cost vs. accuracy, and latency vs. reasoning depth.
- Build structured memory systems including episodic memory stores, semantic memory layers, and vector-based memory with optimized retrieval strategies.
- Design tool-calling architectures with strong execution validation, retry mechanisms, and failure recovery strategies.
- Develop evaluation frameworks to measure agent performance using task success metrics, rollout simulations, and multi-sample validation approaches.
- Improve agent performance through techniques such as distillation, synthetic trajectory generation, prompt compression, and context pruning.
- Deliver production-ready agent systems that meet operational requirements around reliability, cost efficiency, throughput, and observability.
Requirements
- 2-5 years of experience building machine learning or AI systems in production environments.
- Strong experience implementing search or planning algorithms beyond basic use cases, including tree search or heuristic-based planning approaches.
- Hands-on experience with Monte Carlo Tree Search (MCTS) or related decision-making frameworks.
- Strong understanding of state-space representations, heuristic design, and decision boundary trade-offs.
- Experience building or extensively customizing agent frameworks for real-world applications.
- Hands-on experience designing tool-use or function-calling architectures under practical system constraints.
- Strong Python engineering skills with a focus on scalable and reliable system design.
Nice to Have:
- Experience with reinforcement learning techniques such as policy gradients, value estimation, or reward modeling.
- Experience building multi-agent or collaborative agent systems.
- Experience designing evaluation frameworks for agent robustness and reliability.
- Experience optimizing LLM inference pipelines for latency, throughput, and cost efficiency.
- Familiarity with distributed task orchestration systems and large-scale AI workflow management.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Company Name: i-Lanam Technologies
i-Lanam was established in the year 2020 with an insight to provide a
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417 SHIVALIK SHILP Iscon Cross Road, 4th Floor, Ahmedabad,Gujarat 380015, IN
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React.jsWho We Are
We build innovative technology everyday!
Crediwatch is a ‘Data Insights-as-a-service’ company that provides lenders, businesses with actionable credit intelligence on private entities they need to improve trust and increase their lending and trading activity. Crediwatch is in the business of extracting valuable insights by applying artificial intelligence and deep learning and delivering them to chief decision makers. We believe in zero human touch and building systems to augment human intelligence. We do this by deploying the latest practical AI and technology tools that provide the most reliable comprehensive real time inputs.
Each day at Crediwatch is about striving for transparent insights, analysis and accurate results. If this aligns with your interests and aspirations, we have interesting positions for you.
For more information, please visit www.crediwatch.com
The Role Expectation
We are seeking a Technical Project Manager who is passionate about building technology that solves Credit problems and creating experiences that are elegant and effective. You will own, drive and create world-class user experiences throughout the lifecycle. You will serve as a product owner within an agile, cross-functional team of operations and engineers to work on the most impactful features. You are user-centric, continuously demonstrate strategic & analytical abilities, and are laser focused on executing at speed. In this role, you will partner with diverse cross-functional teams to lead, execute, monitor, and deliver results. You must have the ability to succeed in a fast-paced environment, where success is dependent on your ability to collaborate with cross-functional partners in a positive, productive, and transparent way.
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Skill(s) required: Blogging, Creative Writing, English Proficiency (Spoken) and English Proficiency (Written), SEO
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Full Stack Developer - Averlon